aws-samples

aws-samples / sample-automated-reasoning-formalization

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ARchitect helps non-technical users create Automated Reasoning policies from their document

docs.aws.amazon.combedrocklatestuserguideguardrails-automated-reasoning-checks.html ai automated-reasoning aws bedrock
18
1
100% credibility
Found Apr 10, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

ARchitect is a desktop app that lets non-technical experts like lawyers and accountants chat with AI to turn documents into enforceable rules for Amazon Bedrock Guardrails.

How It Works

1
🚀 Open ARchitect

Launch the app and see a welcoming screen to start your policy journey.

2
📄 Pick your document

Choose a document like an HR policy or expense guidelines to turn into smart rules.

3
✨ Create your policy

Name your policy, set how detailed the sections should be, and watch it come to life.

4
💬 Chat to build rules

Talk to your AI helper to import sections, review suggested rules, and tweak them easily.

5
✅ Test and perfect

Run tests on your rules, see what works, and fix issues right in the chat.

🎉 Policy ready!

Your formal policy is complete, accurate, and ready to protect AI answers.

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AI-Generated Review

What is sample-automated-reasoning-formalization?

ARchitect is a TypeScript-based Electron desktop app that helps non-technical users—like accountants, HR reps, or lawyers—create Automated Reasoning policies from natural language documents for AWS Bedrock Guardrails. It uses conversational AI agents via Kiro CLI's Agent Client Protocol and Anthropic Opus to formalize docs into testable logic, build policies, run tests, and auto-repair failures through chat. Users get a workspace with document preview, test panels, and agent-driven workflows, no coding required.

Why is it gaining traction?

Unlike angular architect github tools for UI or dungeon architect github for games, ARchitect targets enterprise architect github needs by turning business docs into verifiable policies with one-click imports and AI-guided fixes. Developers love the benchmarks that measure agent convergence on repair tasks, producing HTML reports with charts and LLM judge scores to catch prompt regressions. The chat interface feels intuitive, handling approvals and tool calls seamlessly for rapid iteration.

Who should use this?

Compliance teams or subject matter experts formalizing HR policies, expense rules, or legal docs into Bedrock Guardrails without devs. Cloud architect github users prototyping AR checks for production. HR or finance pros needing quick policy tests, like road architect github for infra but for reasoning formalization.

Verdict

Grab it if you're experimenting with AWS Automated Reasoning—strong docs, tests, and benchmarks make it dev-friendly despite 18 stars and 1.0% credibility score. Early maturity means validate for prod, but it's a solid sample for non-technical policy creation.

(198 words)

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