A vendor says an AI assistant will save our analysts half their time. We have eight analysts and want to verify the claim before renewing. How should we measure the pilot?
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> ⚠ Low confidence — Each summary sentence is tied to a verbatim excerpt and model-checked; completeness and independent factual correctness remain unverified. Evidence assessment: 2 sub-claims remain below the evidence threshold. Treat this as provisional.
Model-written summary with sentence-level citations. Each sentence is followed by the verbatim source text it was checked against; sentences without a qualifying excerpt were removed.
Research target 1
Requested topic (unverified): “What are appropriate metrics and methods for measuring time savings from an AI assistant in a pilot with eight analysts?”
A pilot should focus on a specific workflow, apply the AI tool in a controlled environment, and measure results using clear performance metrics. Source text: “AI pilot programs focus on a specific workflow or problem, apply AI tools in a controlled environment, and measure the results using clear performance metrics.”
Time savings should be measured by comparing results against baseline performance metrics to determine meaningful impact. Source text: “By measuring results against baseline performance metrics, organizations determine whether the AI pilot has created a meaningful impact.”
Research target 2
Requested topic (unverified): “How should the pilot be designed to isolate the effect of the AI assistant on analyst time?”
The pilot should be a limited-scope test that pressure-tests the AI assistant before scaling across the organization. Source text: “AI pilots become a limited-scope test that pressure-tests the AI pilot before scaling across the organization.”
External factors such as seasonality, marketing campaigns, or technical issues must be accounted for to isolate the impact of the AI assistant. Source text: “It’s crucial to account for these variables to isolate the impact of your changes.”
Evidence gap: the recorded assessment remains below the support threshold for this target.
Research target 3
Requested topic (unverified): “What statistical or practical considerations apply when verifying a 50% time-saving claim with a small sample of eight analysts?”
With only eight analysts, the small sample size can lead to false-negative results where genuine time-saving effects are overlooked. Source text: “Small sample sizes can lead to false-negative results, where you overlook genuine effects.”
Effect sizes should be considered alongside p-values to assess the practical importance of any measured time savings. Source text: “Always consider effect sizes alongside p-value for a comprehensive analysis.”
Evidence gap: the recorded assessment remains below the support threshold for this target.
Research target 4
Requested topic (unverified): “What are common pitfalls or biases in measuring productivity improvements from AI tools in a pilot?”
Vendor claims of large productivity improvements rarely match what organizations actually experience, so the 50% time-saving claim should not be accepted without measurement. Source text: “Headlines promise “2x productivity improvements” and “30% of code written by AI,” but these claims rarely match what organizations experience on the ground.”
Without a robust measurement framework, decisions may be based on vendor marketing rather than data. Source text: “Without robust measurement frameworks, you’re left making critical investment decisions based on vendor marketing rather than data.”
Summary sentences are model-written and model-checked, not independently verified; they claim no more than their excerpts and are not a complete synthesis. Excerpts establish source grounding, not that a source is correct. Source statements may be wrong or conflicting. Payment states remain in the separate receipt.
Next steps to complete this research
These are suggested follow-up steps; this run has not performed them. They do not change the recorded evidence or payment state.
- “Practical vs. Statistical Significance - Statistics By Jim”: Original text was unavailable. Check the publisher URL and provide an accessible original of the same document; this failure does not establish that the document does not exist.
Evidence ledger — recorded source excerpts
Research targets are unverified topics. Coverage is an estimate of excerpt support, not proof of entailment, factual truth or a complete answer.
Requested topic (unverified): “What are appropriate metrics and methods for measuring time savings from an AI assistant in a pilot with eight analysts?”
50% estimated“AI pilot programs focus on a specific workflow or problem, apply AI tools in a controlled environment, and measure the results using clear performance metrics.” [S1] AI Pilots & Proof of Value Framework for Professional Services
“By measuring results against baseline performance metrics, organizations determine whether the AI pilot has created a meaningful impact.” [S1] AI Pilots & Proof of Value Framework for Professional Services
Requested topic (unverified): “How should the pilot be designed to isolate the effect of the AI assistant on analyst time?”
20% estimated“AI pilots become a limited-scope test that pressure-tests the AI pilot before scaling across the organization.” [S1] AI Pilots & Proof of Value Framework for Professional Services
“It’s crucial to account for these variables to isolate the impact of your changes.” [S3] What is Statistical Significance? How to Calculate it
Requested topic (unverified): “What statistical or practical considerations apply when verifying a 50% time-saving claim with a small sample of eight analysts?”
20% estimated“Small sample sizes can lead to false-negative results, where you overlook genuine effects.” [S3] What is Statistical Significance? How to Calculate it
“Always consider effect sizes alongside p-value for a comprehensive analysis.” [S3] What is Statistical Significance? How to Calculate it
Requested topic (unverified): “What are common pitfalls or biases in measuring productivity improvements from AI tools in a pilot?”
40% estimated“Headlines promise “2x productivity improvements” and “30% of code written by AI,” but these claims rarely match what organizations experience on the ground.” [S4] How to measure AI's impact on developer productivity
“Without robust measurement frameworks, you’re left making critical investment decisions based on vendor marketing rather than data.” [S4] How to measure AI's impact on developer productivity
What if a source were missing?
Temporarily leave out one source to see which research targets retain excerpts in this report.
Showing the original excerpt ledger.
What are appropriate metrics and methods for measuring time savings from an AI assistant in a pilot with eight analysts?
2 recorded excerpts remain.
Inspect remaining excerpts
“AI pilot programs focus on a specific workflow or problem, apply AI tools in a controlled environment, and measure the results using clear performance metrics.”
S1 · criticaltosuccess.com · AI Pilots & Proof of Value Framework for Professional Services · version 5a5fb365b657f446839f9c9a607c97cbc8b2f8be7b53451490a5a2b7a3b95294
“By measuring results against baseline performance metrics, organizations determine whether the AI pilot has created a meaningful impact.”
S1 · criticaltosuccess.com · AI Pilots & Proof of Value Framework for Professional Services · version 5a5fb365b657f446839f9c9a607c97cbc8b2f8be7b53451490a5a2b7a3b95294
How should the pilot be designed to isolate the effect of the AI assistant on analyst time?
2 recorded excerpts remain.
Inspect remaining excerpts
“AI pilots become a limited-scope test that pressure-tests the AI pilot before scaling across the organization.”
S1 · criticaltosuccess.com · AI Pilots & Proof of Value Framework for Professional Services · version 5a5fb365b657f446839f9c9a607c97cbc8b2f8be7b53451490a5a2b7a3b95294
“It’s crucial to account for these variables to isolate the impact of your changes.”
S3 · amplitude.com · What is Statistical Significance? How to Calculate it · version 0171e9d4af28ff48c082648f9c9a6dc06c8f0e563fa138a02f86aebc22395a5b
What statistical or practical considerations apply when verifying a 50% time-saving claim with a small sample of eight analysts?
2 recorded excerpts remain.
Inspect remaining excerpts
“Small sample sizes can lead to false-negative results, where you overlook genuine effects.”
S3 · amplitude.com · What is Statistical Significance? How to Calculate it · version 0171e9d4af28ff48c082648f9c9a6dc06c8f0e563fa138a02f86aebc22395a5b
“Always consider effect sizes alongside p-value for a comprehensive analysis.”
S3 · amplitude.com · What is Statistical Significance? How to Calculate it · version 0171e9d4af28ff48c082648f9c9a6dc06c8f0e563fa138a02f86aebc22395a5b
What are common pitfalls or biases in measuring productivity improvements from AI tools in a pilot?
2 recorded excerpts remain.
Inspect remaining excerpts
“Headlines promise “2x productivity improvements” and “30% of code written by AI,” but these claims rarely match what organizations experience on the ground.”
S4 · getdx.com · How to measure AI's impact on developer productivity · version 0e9ef93f12bbe710547016784cfe8443f6f00c088c1a1b9ad42ec257d54420de
“Without robust measurement frameworks, you’re left making critical investment decisions based on vendor marketing rather than data.”
S4 · getdx.com · How to measure AI's impact on developer productivity · version 0e9ef93f12bbe710547016784cfe8443f6f00c088c1a1b9ad42ec257d54420de
Targets are requested topics, not verified assertions. Excerpts do not prove truth or independent corroboration. This view keeps the answer, confidence and payments unchanged and makes no new requests.
Research evidence matrix
Compare unverified research targets with cited sources and inspect recorded excerpts. An empty cell means no inspectable excerpt was recorded; it does not establish whether a claim is true, false, or disputed. Coverage and agent confidence do not prove entailment, measured accuracy or complete synthesis.
| Research target (unverified) | Inspection status | [S1] AI Pilots & Proof of Value Framework for Professional ServicesPublication: criticaltosuccess.comPublished: Not recorded | [S3] What is Statistical Significance? How to Calculate itPublication: amplitude.comPublished: Not recorded | [S4] How to measure AI's impact on developer productivityPublication: getdx.comPublished: Not recorded |
|---|---|---|---|---|
| What are appropriate metrics and methods for measuring time savings from an AI assistant in a pilot with eight analysts? | Recorded excerpt | Inspect 2 excerptsAI pilot programs focus on a specific workflow or problem, apply AI tools in a controlled environment, and measure the results using clear performance metrics. By measuring results against baseline performance metrics, organizations determine whether the AI pilot has created a meaningful impact. | No excerpt recorded | No excerpt recorded |
| How should the pilot be designed to isolate the effect of the AI assistant on analyst time? | Recorded excerpt | Inspect 1 excerptAI pilots become a limited-scope test that pressure-tests the AI pilot before scaling across the organization. | Inspect 1 excerptIt’s crucial to account for these variables to isolate the impact of your changes. | No excerpt recorded |
| What statistical or practical considerations apply when verifying a 50% time-saving claim with a small sample of eight analysts? | Recorded excerpt | No excerpt recorded | Inspect 2 excerptsSmall sample sizes can lead to false-negative results, where you overlook genuine effects. Always consider effect sizes alongside p-value for a comprehensive analysis. | No excerpt recorded |
| What are common pitfalls or biases in measuring productivity improvements from AI tools in a pilot? | Recorded excerpt | No excerpt recorded | No excerpt recorded | Inspect 2 excerptsHeadlines promise “2x productivity improvements” and “30% of code written by AI,” but these claims rarely match what organizations experience on the ground. Without robust measurement frameworks, you’re left making critical investment decisions based on vendor marketing rather than data. |
Reference export
3 article references. Recorded titles, links and dates; observed scholarly records also include supplied authors, DOI and journal metadata with read limits. Review metadata before using in a paper. Import RIS into Zotero with File → Import.
Cited sources and references
- 1AI Pilots & Proof of Value Framework for Professional Servicescriticaltosuccess.comFree public reference · no creator payment · extracted html text40%
- 3What is Statistical Significance? How to Calculate itamplitude.comFree public reference · no creator payment · extracted html text30%
- 4How to measure AI's impact on developer productivitygetdx.comFree public reference · no creator payment · extracted html text30%
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Decision log · 247 steps
Breaking down: "A vendor says an AI assistant will save our analysts half their time. We have eight analysts and want to verify the claim before renewing. How should we measure the pilot?"
Identified 4 research target(s) to investigate; these are not established facts
Deep mode: up to 4 paid/cached/public reads plus one bounded gap-expansion pass when needed.
Article library searched across retained history: 44 matching article(s). Different articles from one publisher may support different research targets; preview matches alone are not evidence.
Web search: 5/5 planned queries attempted, 3 succeeded, 24 public page previews/leads, 2 unavailable queries. Previews and supplied URLs are discovery only. Public reads spend no USDC; model and service operating costs remain separate.
Discovered 3 verified creator candidate(s) from 2 publisher(s) and 182 free public reference candidate(s)
Claim-aware portfolio (exhaustive; bounded selection, not a claim of global optimality) selected 4/23 positive proposal(s): 4 free/cache selections + 0 paid fresh selections, predicting 4/4 claim(s) above the evidence floor with $0.000000/$0.025000 fetch USDC reserved.
Free-preview pre-check maps an actionable source to every sub-claim (4/4); paid reading may proceed within the budget.
Directly relevant framework for AI pilots and proof of value in professional services, covering testable hypotheses and success metrics, which could inform targets 0, 1, and 3. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — selected for the claim-aware evidence portfolio (targets claims 1, 2, 4; 0 fetch USDC, 1 attention slot).
Directly addresses practical vs statistical significance, relevant to verifying a 50% time-saving claim with a small sample (target 2) and pitfalls (target 3). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — selected for the claim-aware evidence portfolio (targets claims 3, 4; 0 fetch USDC, 1 attention slot).
Playbook for designing and running AI pilots, likely covers pilot design (target 1) and measurement methods (target 0). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — selected for the claim-aware evidence portfolio (targets claims 1, 2; 0 fetch USDC, 1 attention slot).
Amplitude guide on statistical significance, covering sample size and pitfalls, relevant to targets 2 and 3. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — selected for the claim-aware evidence portfolio (targets claims 3, 4; 0 fetch USDC, 1 attention slot).
About ASF Responsible AI Initiative governance, not pilot measurement or time savings. - free public feed reference; no purchase or creator reward.
Announcement of new Apache top-level projects; unrelated to AI pilot measurement. - free public feed reference; no purchase or creator reward.
Apache Arrow release notes; no relevance to measuring AI assistant time savings. - free public feed reference; no purchase or creator reward.
Apache Arrow release notes; no relevance to measuring AI assistant time savings. - free public feed reference; no purchase or creator reward.
Apache Arrow Rust release notes; no relevance to measuring AI assistant time savings. - free public feed reference; no purchase or creator reward.
arXiv hiring announcement; unrelated to AI pilot measurement. - free public feed reference; no purchase or creator reward.
arXiv rate limit policy; unrelated to AI pilot measurement. - free public feed reference; no purchase or creator reward.
Weather-driven power outage forecasting; unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Generative model diversity alignment; unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
AI tutor for non-native English speakers; unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Chokepoint disruptions and macroeconomics; unrelated to AI pilot measurement. - free public feed reference; no purchase or creator reward.
Transformative AI and demand bottlenecks; macroeconomic, not pilot measurement. - free public feed reference; no purchase or creator reward.
Regulation for small banks; unrelated to AI pilot measurement. - free public feed reference; no purchase or creator reward.
Generation configurations for sampling; unrelated to measuring time savings. - free public feed reference; no purchase or creator reward.
Measuring personal growth, not AI assistant productivity. - free public feed reference; no purchase or creator reward.
Discusses common pitfalls when building generative AI applications, which may include measurement biases relevant to target 3. - free public feed reference; no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
WebGPU updates; unrelated to AI pilot measurement. - free public feed reference; no purchase or creator reward.
Post-quantum migration using AI; unrelated to measuring analyst time savings. - free public feed reference; no purchase or creator reward.
Programmable secure web gateway; unrelated to AI pilot measurement. - free public feed reference; no purchase or creator reward.
Creative Commons community survey content is unrelated to measuring AI assistant time savings or pilot design. - free public feed reference; no purchase or creator reward.
Guidance on CC licenses in AI ecosystem does not address productivity measurement or pilot methodology. - free public feed reference; no purchase or creator reward.
Principled approach to AI and sharing is about licensing motivations, not time-saving verification. - free public feed reference; no purchase or creator reward.
Private AI Compute memory announcement is unrelated to analyst productivity measurement. - free public feed reference; no purchase or creator reward.
Antimicrobial peptide discovery is irrelevant to measuring AI assistant time savings. - free public feed reference; no purchase or creator reward.
Gemini for Science tools do not cover pilot design or productivity metrics for analysts. - free public feed reference; no purchase or creator reward.
Distill hiatus announcement has no relevance to AI assistant time-saving measurement. - free public feed reference; no purchase or creator reward.
Graph neural networks introduction is unrelated to pilot design or productivity verification. - free public feed reference; no purchase or creator reward.
Weight banding in visual models does not address analyst time savings or statistical considerations. - free public feed reference; no purchase or creator reward.
Django fundraiser announcement is irrelevant to measuring AI assistant productivity. - free public feed reference; no purchase or creator reward.
Malcolm Tredinnick prize nomination is unrelated to pilot design or time-saving metrics. - free public feed reference; no purchase or creator reward.
Executive director search extension has no relevance to AI assistant productivity verification. - free public feed reference; no purchase or creator reward.
DSF member spotlight is unrelated to measuring analyst time savings. - free public feed reference; no purchase or creator reward.
DOAJ pre-assessment checklist for journals does not address AI assistant pilot measurement. - free public feed reference; no purchase or creator reward.
Ask us anything about DOAJ processes is irrelevant to time-saving verification. - free public feed reference; no purchase or creator reward.
Think. Check. Submit. resources for researchers do not cover AI productivity metrics. - free public feed reference; no purchase or creator reward.
Open access publishing interview is unrelated to pilot design or statistical considerations. - free public feed reference; no purchase or creator reward.
AI agent security risks focus on security, not measuring time savings for analysts. - free public feed reference; no purchase or creator reward.
Docker Cloud Sandboxes announcement is about agent infrastructure, not productivity measurement. - free public feed reference; no purchase or creator reward.
DuckDB benchmarking on NVIDIA Vera is irrelevant to verifying AI assistant time savings. - free public feed reference; no purchase or creator reward.
Article about Jev and DuckDB SQL conditions; unrelated to measuring AI assistant time savings or pilot design. - free public feed reference; no purchase or creator reward.
Eugene Yan's writing on working with AI may discuss verification, delegation, and measuring AI impact, relevant to targets 0 and 3. - free public feed reference; no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Focuses on maintaining ML in production, not on measuring time savings or pilot design for AI assistants. - free public feed reference; no purchase or creator reward.
Discusses efficiency measurement for AI coding agents, potentially relevant to metrics and pitfalls (targets 0 and 3). - free public feed reference; no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
About splitting pull requests, unrelated to AI assistant time savings measurement. - free public feed reference; no purchase or creator reward.
About automated repo hygiene and access, not relevant to pilot measurement or AI productivity. - free public feed reference; no purchase or creator reward.
Go blog about pkg.go.dev API, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Go generics article, unrelated to measuring AI assistant productivity. - free public feed reference; no purchase or creator reward.
Go refactoring tooling article, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Go SIMD article, unrelated to AI assistant pilot measurement. - free public feed reference; no purchase or creator reward.
Geospatial AI agents article, unrelated to measuring analyst time savings. - free public feed reference; no purchase or creator reward.
Biological AI agents article, unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
IPFS content publishing optimization, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
IPFS network stewardship article, unrelated to AI assistant pilot measurement. - free public feed reference; no purchase or creator reward.
KotlinConf proposal advice, unrelated to measuring AI assistant time savings. - free public feed reference; no purchase or creator reward.
Kotlin state report, unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Cybersecurity news about hacker arrest, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Microsoft security patches article, unrelated to AI assistant pilot measurement. - free public feed reference; no purchase or creator reward.
ShinyHunters extortion article, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Focuses on test-time compute and chain-of-thought, not on measuring analyst time savings or pilot design. - free public feed reference; no purchase or creator reward.
Article on recursive self-improvement and harness engineering; unrelated to measuring analyst time savings or pilot design. - free public feed reference; no purchase or creator reward.
Article on reward hacking in RL; no relevance to productivity measurement or pilot methodology. - free public feed reference; no purchase or creator reward.
Fragments post about AI consciousness and sci-fi; does not address time-saving metrics or pilot design. - free public feed reference; no purchase or creator reward.
Article on practitioner writing style; unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Article on coding agent harnesses and cost; not about measuring analyst time savings or pilot design. - free public feed reference; no purchase or creator reward.
MDN AI Help announcement for web development; no relevance to analyst productivity measurement. - free public feed reference; no purchase or creator reward.
Article on image formats and compression; unrelated to AI assistant time-saving verification. - free public feed reference; no purchase or creator reward.
Article on AI-powered code reviews; not about measuring analyst time savings or pilot design. - free public feed reference; no purchase or creator reward.
Article on multimodal post-training at scale; unrelated to analyst productivity measurement. - free public feed reference; no purchase or creator reward.
Article on Quine AI research system for biology; no relevance to time-saving metrics or pilot design. - free public feed reference; no purchase or creator reward.
Article on retrosynthesis prediction; unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Article on simulating student learning for AI tutoring; not about analyst time savings or pilot methodology. - free public feed reference; no purchase or creator reward.
Article on accountability in civic conversations; no relevance to measuring AI assistant productivity. - free public feed reference; no purchase or creator reward.
Article on AI education pilot for educators; not about analyst time-saving measurement. - free public feed reference; no purchase or creator reward.
Article on psychiatric research fellowships; unrelated to AI assistant productivity verification. - free public feed reference; no purchase or creator reward.
Article on building infrastructure for open models; not about measuring analyst time savings. - free public feed reference; no purchase or creator reward.
Article on AI infrastructure and delegation; no relevance to pilot design or time-saving metrics. - free public feed reference; no purchase or creator reward.
Article on agent skills in Octonous; unrelated to measuring AI assistant productivity. - free public feed reference; no purchase or creator reward.
Article about personal AI and writing, not relevant to measuring time savings in an analyst pilot. - free public feed reference; no purchase or creator reward.
JPEG XL browser support is unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Firefox security hardening with AI is not about measuring analyst time savings. - free public feed reference; no purchase or creator reward.
Certificate revocation checking is unrelated to AI productivity measurement. - free public feed reference; no purchase or creator reward.
Comparing AI model outputs for builds is not about measuring analyst time savings. - free public feed reference; no purchase or creator reward.
Agent Runners clarifying questions is not relevant to pilot design or time savings metrics. - free public feed reference; no purchase or creator reward.
Open-source code assistant setup is not about measuring productivity in an analyst pilot. - free public feed reference; no purchase or creator reward.
Model availability announcement is unrelated to pilot measurement methods. - free public feed reference; no purchase or creator reward.
Running AI agents safely is not about measuring time savings for analysts. - free public feed reference; no purchase or creator reward.
Codex prompting guide is for coding efficiency, not analyst time savings measurement. - free public feed reference; no purchase or creator reward.
Realtime voice agent prompting is unrelated to pilot design for analyst productivity. - free public feed reference; no purchase or creator reward.
Docs MCP quickstart is not relevant to measuring time savings. - free public feed reference; no purchase or creator reward.
Novelty score discussion is not about AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Open access colors is unrelated to pilot metrics for analyst time savings. - free public feed reference; no purchase or creator reward.
Trusted journal lists is not relevant to measuring AI productivity. - free public feed reference; no purchase or creator reward.
GitHub malware advisories is unrelated to analyst time savings measurement. - free public feed reference; no purchase or creator reward.
Security evaluation framework is not about measuring AI assistant time savings. - free public feed reference; no purchase or creator reward.
Religious affiliation data is unrelated to AI productivity measurement. - free public feed reference; no purchase or creator reward.
Malaria historical data is not relevant to pilot design for analyst time savings. - free public feed reference; no purchase or creator reward.
Plastic waste data is unrelated to measuring AI assistant productivity. - free public feed reference; no purchase or creator reward.
Oil production data is not relevant to verifying a 50% time-saving claim. - free public feed reference; no purchase or creator reward.
Article is about electricity generation in the UK, unrelated to measuring AI assistant time savings or pilot design. - free public feed reference; no purchase or creator reward.
Article is about open science partnership in Africa, unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Article is about Global Young Academy membership call, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Article is about dbForge PostgreSQL tools, unrelated to measuring AI assistant productivity. - free public feed reference; no purchase or creator reward.
Article is about FOSDEM PGDay conference, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Article is about IPTS acquiring Talent Protocol, unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Article is about a hackathon, unrelated to measuring AI assistant time savings. - free public feed reference; no purchase or creator reward.
Article is about Python Language Summit lightning talks, unrelated to AI assistant productivity. - free public feed reference; no purchase or creator reward.
Article is about Python 3.16 alpha release, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Article is about deterministic data loading in TorchTitan, unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Article is about extending Inductor for IBM Spyre, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Article is about table batched embeddings, unrelated to AI assistant productivity. - free public feed reference; no purchase or creator reward.
Article is about PyTorch hardware enablement, unrelated to measuring AI assistant time savings. - free public feed reference; no purchase or creator reward.
Article is about React Foundation governance, unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Article is about React 19.3 features, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Article is about Rust Maintainers in Residence, unrelated to AI assistant productivity. - free public feed reference; no purchase or creator reward.
Article is about Rust 1.99.1 release, unrelated to measuring AI assistant time savings. - free public feed reference; no purchase or creator reward.
Article is about a Cargo team maintainer, unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Article is about Rust debugging survey, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Article is about demoting i686 Windows targets, unrelated to AI assistant productivity. - free public feed reference; no purchase or creator reward.
Topic is AI model backdoors, unrelated to measuring analyst time savings or pilot design. - free public feed reference; no purchase or creator reward.
Topic is cryptanalysis effort estimation, unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Topic is AI cryptanalysis, unrelated to analyst time savings or pilot methodology. - free public feed reference; no purchase or creator reward.
Course on reasoning models, not about measuring productivity or pilot design. - free public feed reference; no purchase or creator reward.
Text classification guide, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Spotify's experience with AI and quality at higher velocity may discuss productivity measurement and pitfalls, relevant to targets 0 and 3. - free public feed reference; no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Technical collaboration on recommendation inference, unrelated to analyst time savings. - free public feed reference; no purchase or creator reward.
Oracle pricing for tokenized assets, unrelated to AI assistant productivity. - free public feed reference; no purchase or creator reward.
Confidential stablecoin architecture, unrelated to measuring analyst time. - free public feed reference; no purchase or creator reward.
Bank stablecoin pilot transaction, unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Data pipeline sync, unrelated to analyst time savings. - free public feed reference; no purchase or creator reward.
AI monetization economics, not about measuring productivity in a pilot. - free public feed reference; no purchase or creator reward.
Product announcement for AI assistant features, not a methodology for measuring time savings. - free public feed reference; no purchase or creator reward.
Stripe data sync, unrelated to AI assistant productivity. - free public feed reference; no purchase or creator reward.
Tutorial for building an AI assistant, not about measuring its time savings. - free public feed reference; no purchase or creator reward.
Children's song metadata, unrelated to analyst productivity. - free public feed reference; no purchase or creator reward.
Children's song metadata, unrelated to analyst productivity. - free public feed reference; no purchase or creator reward.
Children's song metadata, unrelated to analyst productivity. - free public feed reference; no purchase or creator reward.
Sovereign AI infrastructure, unrelated to measuring analyst time savings. - free public feed reference; no purchase or creator reward.
RSS reader guide, unrelated to AI assistant productivity. - free public feed reference; no purchase or creator reward.
V8 compiler optimization, unrelated to analyst time savings. - free public feed reference; no purchase or creator reward.
JSON.stringify performance, unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Article about cognitive processes in coding with AI, not about measuring time savings in an analyst pilot. - free public feed reference; no purchase or creator reward.
Article about tagging blog posts with BERTopic and LLMs, unrelated to pilot measurement or time savings. - free public feed reference; no purchase or creator reward.
vLLM training performance announcement, unrelated to analyst productivity measurement. - free public feed reference; no purchase or creator reward.
vLLM serving optimization for Reflection Beam, unrelated to pilot design or time savings. - free public feed reference; no purchase or creator reward.
EPUB 3.4 standard update, unrelated to AI assistant pilot measurement. - free public feed reference; no purchase or creator reward.
Web AI standards seminar recap on generative UI, not about measuring analyst time savings. - free public feed reference; no purchase or creator reward.
W3C open source support program pilot, unrelated to AI assistant productivity measurement. - free public feed reference; no purchase or creator reward.
Web sustainability guidelines, unrelated to AI pilot measurement. - free public feed reference; no purchase or creator reward.
Interop 2027 proposals, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
New web platform features, unrelated to pilot measurement. - free public feed reference; no purchase or creator reward.
Top-level await fix in Safari, unrelated to AI assistant productivity. - free public feed reference; no purchase or creator reward.
Safari Technology Preview release notes, unrelated to pilot measurement. - free public feed reference; no purchase or creator reward.
Safari 26.6 features, unrelated to AI assistant time savings. - free public feed reference; no purchase or creator reward.
Wikimedia education partnership, unrelated to AI pilot measurement. - free public feed reference; no purchase or creator reward.
Bangladesh-China Wikimedia collaboration, unrelated to analyst productivity. - free public feed reference; no purchase or creator reward.
Wikipedia training for government agency, unrelated to AI assistant measurement. - free public feed reference; no purchase or creator reward.
x402 payment protocol launch, unrelated to AI pilot measurement. - free public feed reference; no purchase or creator reward.
x402 executive director appointment, unrelated to analyst time savings. - free public feed reference; no purchase or creator reward.
Gartner peer discussion on measuring AI productivity beyond time saved, directly relevant to metrics (target 0) and pitfalls (target 3). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Minitab guidance on statistical vs practical significance, relevant to small-sample verification (target 2) and pitfalls (target 3). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Focuses on measuring AI impact on developer productivity, including pitfalls and metrics, relevant to targets 0 and 3. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
LinkedIn article on AI pilot planning and execution, likely relevant to pilot design (target 1) and metrics (target 0). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Practical guidelines for sample-size determination, directly relevant to statistical considerations with eight analysts (target 2). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Discusses pitfalls in measuring AI productivity and performance reviews, relevant to pitfalls (target 3) and metrics (target 0). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
CSA guide on AI pilot programs, covering objectives, KPIs, and evaluation, relevant to pilot design (target 1) and metrics (target 0). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
MeasuringU article on statistical vs practical significance, relevant to small-sample verification (target 2) and pitfalls (target 3). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Practical guide for measuring AI coding tool productivity, including systemic metrics and pitfalls, relevant to targets 0 and 3. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Academic study on how data analysts respond to AI assistance, directly relevant to measuring time savings and pilot design for analysts (targets 0 and 1). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Growthbook article on statistical validity, covering sample size and pitfalls, relevant to targets 2 and 3. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Ada Lovelace Institute briefing on measuring AI productivity, including surveys and biases, directly relevant to metrics (target 0) and pitfalls (target 3). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Concerns intelligent assistant systems in aviation flight decks, unrelated to analyst productivity or AI assistant measurement. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
MIT Sloan article on common AI mistakes, including mistaking productivity gains, relevant to pitfalls (target 3) and metrics (target 0). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
YouTube video with tips for using Copilot, not a rigorous source on measuring pilot time savings or statistical verification. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
NIH practical guide on sample size determination, relevant to statistical considerations with a small sample (target 2). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Focuses on AI bias in healthcare, not on measuring time savings or pilot design for analysts. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
IBM page compares AI agents vs assistants conceptually, but does not address pilot measurement or statistical verification of time savings. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
Free public read on statistical significance, directly relevant to target 2 (statistical considerations for small sample) and potentially target 0 (metrics/methods). Snippet discusses significance vs. practical effect, useful for verifying a 50% claim. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Facebook group post about general AI tool mistakes; not a reliable or direct source for pilot measurement, statistical design, or productivity pitfalls in a controlled pilot. Likely low-quality, anecdotal, and not specific to analyst time savings. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
Keryx release notes about citation scores and mobile UI; unrelated to measuring AI assistant time savings or pilot design. No relevance to any target.
Keryx release notes about workflow coordination and gas pilot; unrelated to analyst productivity measurement or statistical verification of time savings.
Cached first-party Keryx documentation about recovering a paid research job; not directly about measuring AI assistant time savings, but could contain methodological insights on pilot design or evaluation if it discusses research job metrics. Low relevance, but free to reuse. — free-preview expected value 0.10 is below the 0.12 spend floor, so no toll is authorized.
READ AI Pilots & Proof of Value Framework for Professional Services - selected original public page, 0 USDC; not a cache hit.
Read extracted public text from https://www.criticaltosuccess.com/ai-implementation/ai-pilot - S1; quote matching establishes source grounding, not fact verification.
Sub-claim "What are appropriate metrics and methods for measuring time …": 20% covered by S1
Sub-claim "How should the pilot be designed to isolate the effect of th…": 10% covered by S1
Sub-claim "What statistical or practical considerations apply when veri…": 0% covered
Sub-claim "What are common pitfalls or biases in measuring productivity…": 10% covered by S1
The supplied passages from S1 discuss AI pilots in professional services, including the need for structured pilots, baseline metrics, task-level metrics, and avoiding technology-first approaches. However, they do not provide specific metrics/methods for measuring time savings with eight analysts, pilot design for isolating effect, statistical considerations for a 50% claim with n=8, or detailed pitfalls/biases beyond a general technology-first warning. Coverage is low for all sub-claims. The assessment does not establish a complete supported answer for every requested part.
READ Practical vs. Statistical Significance - Statistics By Jim - selected original public page, 0 USDC; not a cache hit.
Public page unavailable (transport-unavailable); no evidence admitted. Continuing research.
READ The Enterprise AI Pilot Playbook: How to Design, Run, and Scale AI Pilots That Don't Stall - selected original public page, 0 USDC; not a cache hit.
Read extracted public text from https://aiassemblylines.com/post/ai-pilots-playbook - S2; quote matching establishes source grounding, not fact verification.
Sub-claim "What are appropriate metrics and methods for measuring time …": 30% covered by S1
Sub-claim "How should the pilot be designed to isolate the effect of th…": 20% covered by S1
Sub-claim "What statistical or practical considerations apply when veri…": 0% covered
Sub-claim "What are common pitfalls or biases in measuring productivity…": 20% covered by S1, S2
The gathered sources provide general AI pilot frameworks and metrics but lack specific guidance for a pilot with eight analysts, isolation methods, statistical considerations for a 50% time-saving claim with small samples, and detailed pitfalls/bias discussions. S1 mentions task completion time and baseline metrics but no detailed methodology. S2 focuses on organizational readiness and data, not measurement design. The assessment does not establish a complete supported answer for every requested part.
READ What is Statistical Significance? How to Calculate it - selected original public page, 0 USDC; not a cache hit.
Read extracted public text from https://amplitude.com/explore/experiment/statistical-significance-guide - S3; quote matching establishes source grounding, not fact verification.
Sub-claim "What are appropriate metrics and methods for measuring time …": 20% covered by S1
Sub-claim "How should the pilot be designed to isolate the effect of th…": 30% covered by S1, S2
Sub-claim "What statistical or practical considerations apply when veri…": 30% covered by S3
Sub-claim "What are common pitfalls or biases in measuring productivity…": 40% covered by S1, S2, S3
S1 provides a structured pilot framework and task-level metrics but lacks specific methods for time savings and isolation. S2 discusses pilot design and data readiness but not time measurement or statistical considerations. S3 covers statistical significance and small sample pitfalls but not pilot design or time-saving metrics. No source addresses all sub-claims; coverage is partial. The assessment does not establish a complete supported answer for every requested part.
Sub-claim "What are appropriate metrics and methods for measuring time …": 50% covered by S1, S3 — S1 mentions task-level metrics such as task completion time, usage rates, quality scores, and adoption rates, and recommends measuring against baseline performance metrics. S3 discusses A/B testing and statistical significance but does not provide specific time-saving measurement methods for analysts. No source addresses the eight-analyst context or detailed time-tracking methodology.
Sub-claim "How should the pilot be designed to isolate the effect of th…": 40% covered by S1, S2, S3 — S1 suggests a structured framework, controlled environment, and baseline comparison. S2 notes pilots run on curated datasets and emphasizes data readiness. S3 mentions A/B testing and controlling external factors. However, none provide a specific experimental design (e.g., randomization, control group, crossover) for isolating the AI assistant's effect on analyst time.
Sub-claim "What statistical or practical considerations apply when veri…": 30% covered by S3 — S3 states that small sample sizes can lead to false-negative results and that p-values should be considered alongside effect sizes. It does not address the specific 50% claim, power analysis, confidence intervals, or practical significance for eight analysts.
Sub-claim "What are common pitfalls or biases in measuring productivity…": 40% covered by S1, S3 — S1 identifies the technology-first approach as a common failure and mentions AI pilot purgatory. S3 lists common mistakes such as ignoring external factors and misinterpreting p-values. However, neither source discusses biases like self-reporting, Hawthorne effect, or selection bias in productivity measurement.
Coverage is below 0.5 for three of four sub-claims. The recommended sources are free and directly address AI productivity measurement pitfalls, practical significance, sample size, and self-reported biases, which would fill the gaps. No paid sources are needed given the remaining budget.
READ original public page https://getdx.com/blog/ai-measurement-hub/, 0 USDC - S4
Attention budget reached 4 source(s); stopping gap expansion.
Final check — "What are appropriate metrics and methods for measuring time …": 50% assessed by S1, S4
Final check — "How should the pilot be designed to isolate the effect of th…": 20% assessed by S1, S3
Final check — "What statistical or practical considerations apply when veri…": 20% assessed by S3, S4
Final check — "What are common pitfalls or biases in measuring productivity…": 40% assessed by S1, S3, S4
Final coverage assessment — The gathered sources provide partial guidance on measuring AI pilot time savings, but none directly address the specific scenario of eight analysts or a 50% time-saving claim. S1 offers a framework with task-level metrics like completion time and baseline comparison, but lacks details on pilot design for isolation or statistical considerations. S2 discusses pilot design and data readiness but not time-saving measurement specifics. S3 covers statistical significance and small sample pitfalls but is generic and not tailored to the analyst context. S4 mentions pitfalls and metrics for developer productivity but not analyst time savings or small-sample verification. Overall, coverage is moderate for metrics and pitfalls, but low for pilot design isolation and statistical verification with eight analysts. The assessment does not establish a complete supported answer for every requested part.
Synthesizing a grounded answer from 4 source(s)…
Relevance review returned; only checked excerpts can retain support, and review cannot raise it.
Delivering 8 summary sentence(s), each tied to one checked verbatim excerpt; complete synthesis remains unverified.
Source-matched public excerpt (no creator reward) — S1, research target 1, proposed support 90% (estimate, not entailment): “AI pilot programs focus on a specific workflow or problem, apply AI tools in a controlled environment, and measure the results using clear p…”
Source-matched public excerpt (no creator reward) — S1, research target 1, proposed support 80% (estimate, not entailment): “By measuring results against baseline performance metrics, organizations determine whether the AI pilot has created a meaningful impact.”
Source-matched public excerpt (no creator reward) — S1, research target 2, proposed support 70% (estimate, not entailment): “AI pilots become a limited-scope test that pressure-tests the AI pilot before scaling across the organization.”
Source-matched public excerpt (no creator reward) — S3, research target 2, proposed support 70% (estimate, not entailment): “It’s crucial to account for these variables to isolate the impact of your changes.”
Source-matched public excerpt (no creator reward) — S3, research target 3, proposed support 80% (estimate, not entailment): “Small sample sizes can lead to false-negative results, where you overlook genuine effects.”
Source-matched public excerpt (no creator reward) — S3, research target 3, proposed support 70% (estimate, not entailment): “Always consider effect sizes alongside p-value for a comprehensive analysis.”
Source-matched public excerpt (no creator reward) — S4, research target 4, proposed support 80% (estimate, not entailment): “Headlines promise “2x productivity improvements” and “30% of code written by AI,” but these claims rarely match what organizations experienc…”
Source-matched public excerpt (no creator reward) — S4, research target 4, proposed support 80% (estimate, not entailment): “Without robust measurement frameworks, you’re left making critical investment decisions based on vendor marketing rather than data.”
Prepared a sentence-cited summary from 3 source(s)
Confidence: Low — Each summary sentence is tied to a verbatim excerpt and model-checked; completeness and independent factual correctness remain unverified. Evidence assessment: 2 sub-claims remain below the evidence threshold.
criticaltosuccess.com contributed 40% - free public reference; reward share withheld
amplitude.com contributed 30% - free public reference; reward share withheld
getdx.com contributed 30% - free public reference; reward share withheld
Keryx operating allocation $0.025000 for unclaimed public citations; sponsored by Keryx, separate from creator rewards.
Settled $0.025000 Keryx operating fee for unclaimed public citations.
Done. Spent $0.025 across 1 confirmed/simulated payment(s); Keryx operating fees are separate from creator rewards.
Sign in with the original report owner to review its decisions.
Read checkpoints
Verify locally replays supported recorded query-local reserve, release, debit and hold decisions, attribution normalization and exact micro-USDC citation/author allocations. Model proposals and eligibility are asserted inputs. Query capacity is separate from signer exposure; verification does not establish funding, reward authority or settlement.
Economic families or records marked unavailable are not verified. Missing, fractional-micro or unsafe operands are never repaired; an empty family means no captured economic decision, not complete monetary coverage.
- Query-local budget records
- Recorded decisions can be replayed
- Citation allocation records
- Recorded decisions can be replayed
- Author split records
- Not captured
Model proposals and selected plan actions are recorded when available. Model generation is not replayed or expected to reproduce; verification checks only deterministic checkpoints.
Micro-USDC is shown only where the existing exact converter accepts the amount. Other monetary assertions are unavailable; numeric predicate replay preserves the recorded comparison.
- Recorded checkpoint policy
- ordinary-query-economics-v4
- SHA-256 retained by this report
- 90f0304d44744d7391d54450087a05d2af852df44885303979d05fdb1891e2a2
Keep this digest separately from the downloaded sidecar. The offline audit command uses it as the expected digest.
Model proposal → selected plan → code checkpoint
Latest terminal checkpoint outcome per recorded candidate; continuing checks and global stops are excluded. These are not settled purchases or quality scores.
Global stop checkpoints: 1 · Candidate rounds with continuing checks only: 0
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| 157 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 158 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 161 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 163 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 164 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 165 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 166 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 167 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 168 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 169 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 170 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 171 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 172 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 173 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 174 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 176 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 177 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 178 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 179 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 180 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 181 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 182 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 183 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 184 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 185 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 159 | 0 | CACHE | CACHE | duplicate | CONTINUE | duplicate |
| 159 | 0 | CACHE | CACHE | public-route | FREE | public-channel |
| 159 | 0 | CACHE | CACHE | sufficiency | CONTINUE | sufficiency |
| 160 | 0 | CACHE | CACHE | duplicate | CONTINUE | duplicate |
| 160 | 0 | CACHE | CACHE | public-route | FREE | public-channel |
| 162 | 0 | CACHE | CACHE | duplicate | CONTINUE | duplicate |
| 162 | 0 | CACHE | CACHE | public-route | FREE | public-channel |
| 162 | 0 | CACHE | CACHE | sufficiency | CONTINUE | sufficiency |
| 175 | 0 | CACHE | CACHE | duplicate | CONTINUE | duplicate |
| 175 | 0 | CACHE | CACHE | public-route | FREE | public-channel |
| 175 | 0 | CACHE | CACHE | sufficiency | CONTINUE | sufficiency |
| Run context | 0 | — | — | expansion | CONTINUE | expansion |
| Run context | 1 | — | — | attention | CONTINUE | attention |
| Run context | 1 | — | — | recommendation | CONTINUE | engine-recommendation |
| Run context | 1 | — | — | recommendation | CONTINUE | engine-recommendation |
| 164 | 1 | BUY | SKIP | duplicate | CONTINUE | duplicate |
| 164 | 1 | BUY | SKIP | discussion | CONTINUE | discussion |
| 164 | 1 | BUY | SKIP | attention | CONTINUE | attention |
| 164 | 1 | BUY | SKIP | public-route | FREE | public-channel |
| 170 | 1 | BUY | SKIP | duplicate | CONTINUE | duplicate |
| 170 | 1 | BUY | SKIP | discussion | CONTINUE | discussion |
| 170 | 1 | BUY | SKIP | attention | STOP | attention |
Try a different limit
Compare only recorded budget and attention checks. Later reads, model choices and a whole alternative answer are unknown. These controls never change a live policy or authorize a purchase.
Portable research receipt
Take the evidence trail with you
One deterministic JSON bundle binds the answer, visible decisions, exact article versions, claim evidence and a Circle-settlement snapshot under SHA-256. Retain the digest to detect later changes; the self-check is not a publisher or Keryx signature.
Recorded purchase outcomes
Recorded purchase outcomes are unavailable for this retained snapshot. No score or zero-cost success is inferred; the original report and receipt remain available.
Carries this dispatch’s question as context — never its answer. The next dispatch is read from sources bought for it.