Content: AI Agent Structured Output: Validate Before You Store - #396
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Review Gate SummaryAll enabled ReviewGate review angles passed. Confidence Score: 5/5
Findings: 0 total, 0 blocking, 0 inline candidates No findings. Re-run ReviewGate if new commits land. Important Files ChangedNo files require special attention from this review. Flowchartflowchart TD
A["Pull request update"] --> B["ReviewGate analyzes the latest commit"]
B --> C["Model review stages"]
C --> D["Structured JSON artifact"]
D --> E["Confidence Score: 5/5"]
D --> F["Canonical PR summary comment"]
F --> G["Human or agent fixes findings"]
E --> H["Status: passed"]
Reviews on this PR: 1 run. Changed lines analyzed: 474. Total cost: $0.02. Latest commit analyzed: |
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Post
/blog/ai-agent-structured-outputAI agent structured output(live SERP researched; volume/KD unmeasured because DataForSEO credentials were unavailable in this runtime)Research and angle
Live SERP review found provider and framework documentation focused on schema-constrained generation. The post adds the operational boundary after parsing: the shape -> meaning -> write contract, separating schema validity, semantic and policy validation, and retry-safe persistence. Claims were verified against current Anthropic Agent SDK, Gemini, JSON Schema, and Rowset primary documentation. All five external source URLs return HTTP 200. The private Rowset SEO opportunity and six-claim source ledger were registered.
Side checks
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Validation
manage.py check: pass.seo/config.jsonand.seo/keyword-research.json: passgit diff --check: passLocal environment note
The focused Django blog tests could not start because this runtime has no Docker/Make and the configured PostgreSQL host
dbis unavailable outside Compose. This is an environment blocker rather than a test failure; GitHub CI is expected to run the supported service-backed test path.