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feat(dashboard): show business research results and focused follow-ups - #833
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@greptileai Please review the final implementation on e1c23a4, including streaming report persistence, degraded reads/discovery, explicit-draft provenance, follow-up questions, and the dashboard state transitions. Local lint, required types/unit suites, PostgreSQL tests, browser regressions, visual QA, and production build are complete; validation and limitations are in the PR description. |
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@greptileai review this PR on final head 4390bd6. The non-null assertion finding is fixed using a guaranteed fixture return type and explicit guards; the 40 browser cases, lint, and types passed again. Please verify the final head before merge. |
Business-context research now shows the pages it read, pages it could not read, and failures in page discovery. Those results stream into a compact report and survive saving and history restoration, separately from citations supporting the brief. Failed secondary reads and discovery errors can still produce a brief from verified pages; cancellation, source boundaries, billing settlement, and the seven-page limit stay enforced.
The agent can leave up to three focused questions for missing team context. Questions appear beside the existing fields, answers recover across reload, and explicit saving clears answered questions without implicitly adopting the AI brief. Starting a new run hides the previous proposal; completion no longer waits for a background refresh; failures remain visible in the focused draft view on mobile. Explicitly choosing a legacy draft never attaches another run's report or questions.
Scope: organization business-context schema/storage, active API generation, and dashboard page. No new dependency, endpoint, queue, or database migration. Independent of #751; no changes to its business-memory or Insights surface.
Validation:
Provider/model tests use synthetic fixtures. Live model quality has not been checked in this iteration.
AI-assisted implementation and review. Maintainer contribution.