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Content: AI Agent Structured Output: Validate Before You Store - #396

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gregagi merged 2 commits into
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content/ai-agent-structured-output
Aug 3, 2026
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Content: AI Agent Structured Output: Validate Before You Store#396
gregagi merged 2 commits into
mainfrom
content/ai-agent-structured-output

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@gregagi

@gregagi gregagi commented Aug 3, 2026

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Post

  • Title: AI Agent Structured Output: Validate Before You Store
  • Slug: /blog/ai-agent-structured-output
  • Type: how-to / operational decision guide
  • Target: AI 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

  • ai-seo: pass — direct answer first, extractable three-gate framework, question-shaped headings and FAQ, current date signals, self-contained claims, primary-source attribution, relevant entities, and existing BlogPosting schema support.
  • product-led-seo-strategy: pass — solves a real builder job tied to Rowset indexes, schema, MCP, and REST; includes a private two-dataset staging pattern; states Rowset's limits; links to the product setup path.

Files changed

  • New blog post and verified SEO brief
  • SEO content ledger, keyword research state, Rowset locator sync date, and link inventory
  • Two natural inbound links from schema docs and the AI data-entry guide
  • Changelog entry

Validation

  • manage.py check: pass
  • Checked-in blog parser: all posts valid; new post renders tables, canonical URL, and expected content
  • SEO word-count gate: 1,809 words / 1,500 minimum
  • Internal links: 6 in-body; 2 inbound; new post is not orphaned
  • Title: 53 characters; meta description: 135 characters
  • Forbidden brand phrases: clean
  • JSON validation for .seo/config.json and .seo/keyword-research.json: pass
  • git diff --check: pass
  • External primary-source links: 5/5 HTTP 200

Local environment note

The focused Django blog tests could not start because this runtime has no Docker/Make and the configured PostgreSQL host db is 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.

@github-actions

github-actions Bot commented Aug 3, 2026

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Review Gate Summary

All enabled ReviewGate review angles passed.

Confidence Score: 5/5

Review angle Score Findings
General 5/5 0
Adversarial 5/5 0
Runtime phase Duration
Queue 0.00s
Startup 5.56s
Model review 129.23s
Publish 1.34s

Findings: 0 total, 0 blocking, 0 inline candidates
Notes: 2 note(s) in the JSON artifact.

No findings. Re-run ReviewGate if new commits land.

Important Files Changed

No files require special attention from this review.

Flowchart
flowchart 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"]
Loading

Reviews on this PR: 1 run. Changed lines analyzed: 474. Total cost: $0.02. Latest commit analyzed: 73e42b7248bffb63b8abe7559e624bf75223dae0.

@gregagi
gregagi merged commit 9390076 into main Aug 3, 2026
6 checks passed
@gregagi
gregagi deleted the content/ai-agent-structured-output branch August 3, 2026 06:17
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