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[DEV-2203] App AI tools, cited research and media guides - #320
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tonytlwu
marked this pull request as ready for review
October 16, 2026 13:48
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JIRA ticket
DEV-2203, DEV-2204, DEV-2205
Summary
Document three app AI workflows: validated tool calls and confirmed authorized changes, web research with inline sources, and PDF/photo extraction with editable structured results. Extend the JavaScript reference for the additive completion lifecycle in API PR #8804.
Changes
filterfor constrained query reads and operationpayloadplus stored ownership for writes. Preserve legacyquery; never treat arbitrary body fields as an applied filter. These contexts depend on API PR #8804 and fail closed when absent.Verification
$is printed.Presentation follow-up
Deployment instructions
Keep this PR in preview while testing Studio. The terminal-result reference and custom-rule
filter/payloadexamples depend on API PR #8804 and its published SDK asset. Deploy/verify the API and SDK before publishing these contract-dependent docs, then refresh Studio's production catalog from published docs. No production deployment is requested by this draft.Author concerns
Final preview raw Markdown/index retrieval and rendered recipe desktop/mobile checks passed; the preview content matches reviewed source. Docs unit CI passes at
4ac3b8248714a367053ce6310e1401e3aceeafa4; Cloudflare preview also passes. Fresh generated-app outcomes remain separate: PDF extraction/editing works, but Save/private-original retention and tax/warning review remain gaps. Targeted local action app repairs now pass real provider read/replay, declined unchanged and accepted Status-only updates plus cross-owner denial. Research now passes progressive/final/source/follow-up UI checks after the shared nested-template loader repair in API PR #8804. These repaired-app outcomes are not evidence of consistent first-pass builder success. Safe Markdown is now repaired and verified in local app58; the unchanged chatbot control still renders literal Markdown. This is not a generic agent framework, exactly-once action service or offline AI feature.