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Loop Engineering

Provides generators and templates for building AI agent workflows with evidence, stop rules, budget limits, fallbacks, and human approval gates.

Launch screenshots from Product Hunt, Jul 2026

A browser-based toolkit for designing safe, verifiable AI agent workflows. It solves the problem of unreliable agent runs by providing structured templates with evidence, stop rules, budget limits, fallbacks, and human approval gates. It targets developers and operations teams using tools like Claude Code, Codex, Cursor, and GitHub Actions. It is positioned as a free, no-sign-up tool that runs entirely in the browser, with copyable outputs and explicit safety controls.

Key features

  • Goal generator for agent workflows
  • Budget calculator for token costs
  • Readiness doctor for task assessment
  • Template library with verified examples
  • Copyable outputs for multiple tools
  • Explicit stop rules and human approval gates
  • Supports Claude Code, Codex, Cursor, GitHub Actions
  • Browser-only, no code execution or repo connection
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  • Changelog
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  • Software developers
  • Engineering teams
  • DevOps sre teams