Scheduled AI Research and Reporting

Scheduled AI Research and Reporting

Key jargon

Term Plain-language meaning
Scheduler A service that starts work at a configured time or interval.
Freshness window The maximum acceptable age of information for a report.
Source ledger A record of consulted sources, dates, evidence strength, and supported claims.
Publication gate Checks that must pass before a generated artifact is distributed.

Key concepts

Concept map

flowchart LR
    A["Schedule bounded collection"] --> B["Extract with source ledger"]
    B --> C["Synthesize and verify claims"]
    C --> D["Approve then publish"]

Controlled cycle

  1. Fixed query and source policy.
  2. Date/cutoff and bounded collection budget.
  3. Deduplicate against prior source IDs.
  4. Extract claims with source/date/evidence status.
  5. Reconcile contradictions and staleness.
  6. Draft changes separately from published truth.
  7. Human review before publication.
  8. Record no-change outcome and next scheduled run.

Loop brakes

Maximum sources, pages, cost, elapsed time, recursion depth, and consecutive no-change runs. Stop on access barriers, conflicting high-impact evidence, or source-policy failure.

Exercise

Design a weekly model-release digest using only official provider release notes. Specify change detection and how a retracted or silently edited release is handled.