Skip to content

Add blog post: Automating tax and benefit policy modeling with multi-agent AI#630

Merged
MaxGhenis merged 6 commits intomainfrom
blog/encode-policy-multi-agent-ai
Feb 5, 2026
Merged

Add blog post: Automating tax and benefit policy modeling with multi-agent AI#630
MaxGhenis merged 6 commits intomainfrom
blog/encode-policy-multi-agent-ai

Conversation

@hua7450
Copy link
Contributor

@hua7450 hua7450 commented Feb 2, 2026

Summary

Adds a new technical blog post describing the encode-policy workflow—a multi-agent AI system that automates tax and benefit policy implementation from legal documents to tested pull requests.

Content

Main thesis: Reduces policy implementation from 2-3 weeks to 90 minutes using specialized AI agents.

Article structure:

  • The manual process (~1,500 lines of code per state program)
  • Evolution through 5 iterations (70% → 40% → 15% error rate)
  • Design principles: source authority, isolation, shared knowledge, orchestrator pattern, composability
  • Workflow architecture with 4 phases and 12 specialized agents
  • Results: 42 states with TANF, 60K+ lines of code generated
  • Instructions for trying the workflow

Changes

  • Full-screen interactive app: Added to apps.json as iframe type
  • Interactive presentation: diagrams.html contains the full article with:
    • Clickable iteration cards showing architecture evolution
    • SVG agent flow diagrams
    • Design principles grid
    • Terminal-style code blocks
    • Stats cards for results
  • New author: Ziming Hua added to authors.json
  • Cover image: Agent flow diagram
  • Test update: Allow local /assets/ paths in app source URL validation

Test plan

  • Preview at /research/encode-policy-multi-agent-ai
  • Verify full-screen iframe loads and scrolls properly
  • Verify cover image displays on research page
  • Click through iteration cards (1-5) and verify diagrams render
  • Check agent flow diagram renders with loop indicator
  • Verify author displays correctly

🤖 Generated with Claude Code

…agent AI

Introduces a new technical blog post describing the encode-policy workflow
that uses specialized AI agents to automate policy implementation.

- Add article markdown with interactive diagrams (iframe)
- Add author entry for Ziming Hua
- Add cover image and diagram assets

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
@vercel
Copy link

vercel bot commented Feb 2, 2026

The latest updates on your projects. Learn more about Vercel for GitHub.

Project Deployment Actions Updated (UTC)
policyengine-app-v2 Ready Ready Preview, Comment Feb 5, 2026 4:18pm
policyengine-calculator Ready Ready Preview, Comment Feb 5, 2026 4:18pm
policyengine-website Ready Ready Preview, Comment Feb 5, 2026 4:18pm

Request Review

- Replace diagrams.html with full interactive presentation
- Move entry from posts.json to apps.json as iframe type
- Convert markdown to placeholder (content now served via iframe)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
hua7450 and others added 2 commits February 3, 2026 19:48
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Update test to accept /assets/ paths in addition to external URLs.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Swapped the static HTML diagrams with the built React app from
agentic-workflow-presentation for a better interactive experience.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Sync latest changes from agentic-workflow-presentation repo.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
@MaxGhenis MaxGhenis merged commit bc2f3c2 into main Feb 5, 2026
8 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants