Inspectable walkthrough
Why the Report Stopped Before Writing
In one actual research run, a pre-writing quality review stopped a broad, attractive claim and replaced it with a narrower conclusion that respected evidence states and counterarguments.
What This Record Shows
This page connects a user request to the point where the workflow stopped, the repairs it required, and the public report that followed.
User request
→ research contract
→ source and claim verification
→ counterargument and synthesis
→ pre-writing verdict
→ claim repair
→ final report and QAThe Request and the Open Decisions
Is electricity becoming the next major bottleneck for AI stocks? Research it deeply and write an English report. Treat it as educational research, not investment advice.
Three boundaries still needed decisions:
- Did
power bottleneckmean global scarcity or regional delay in connecting usable power? - How should announcements, requests, contracts, operating capacity, and actual consumption differ?
- How could the report discuss market exposure without becoming a beneficiary ranking?
The workflow recorded those decisions in the research contract before collection.
The Pre-Writing Verdict
The package had enough material, but quality review returned:
repair before report
The issue was not volume. Precise claims supported only by source leads could enter as verified facts, requested megawatts could appear as live demand, and market language could turn a conditional mechanism into a stock theme.
The verdict did not request an unlimited new research cycle. It required repairing evidence state, scope, and language before the report writer used the material.
Four Repairs Became Writing Rules
1. Scope of the bottleneck
Risk: AI growth means the world is running out of electricity.
Repair: Separate national supply from regional interconnection queues, cooling, permitting, and delivery timing. Narrow the conclusion to regional time-to-power.
2. Status of the numbers
Risk: treat announced or requested megawatts as live demand.
Repair: label actual consumption, operating capacity, contracts, requests, forecasts, and scenarios as different evidence states.
3. Market language
Risk: turn a physical constraint directly into a ranked list of beneficiaries.
Repair: use exposure mechanisms, indicators, confidence, and disconfirming conditions instead of rankings.
4. Unverified specificity
Risk: use an event or number supported only by a source lead as core evidence.
Repair: remove it from the core case or lower it to an explicit limitation.
The Conclusion Changed
The risky starting frame was:
AI growth → global electricity shortage → direct corporate beneficiariesAfter verification, counterargument, and QA, the report used:
From 2026 to 2030, the more defensible bottleneck is not absolute global electricity supply, but regional time-to-power: securing, connecting, cooling, and operating power where it is needed.
The final report also separated total data-center demand, AI-ready capacity, and AI-workload electricity, and placed counterarguments and disconfirming conditions before the conclusion.
Inspect the Public Result
Evidence Boundary
This is a public excerpt from one actual research run. It shows that an ordered quality verdict changed the final claims and evidence language. It does not establish that an independent runtime automatically blocked every model call or that other topics will reach the same quality.