Logic lets you build and deploy AI agents (automated programs that perform tasks) by writing plain English specs — no coding frameworks required.
Write agent behavior in plain English — no SDKs or flowcharts needed
Test every change automatically with built-in regression detection
Deploy agents as REST APIs (web endpoints your apps can call) instantly on save
Version and roll back spec changes with Git-like controls
Route requests across OpenAI, Anthropic, Google, and Perplexity automatically
Run batch processing against entire CSV datasets with any agent
Source:
No integrations listed yet for Logic.
Logic automatically routes each request to the best AI model (from OpenAI, Anthropic, Google, or Perplexity) based on task complexity, cost, and latency — with automatic failover if a provider goes down.
Logic is best for small tech-forward teams — think a 5-20 person startup or agency — that want to automate tasks like contract review, ticket triage, or data extraction without building custom AI pipelines from scratch. You get a lot of infrastructure (testing, versioning, routing, logging) bundled into one tool, which is a real time-saver. That said, pricing isn't public and the product appears early-stage, so budget carefully before committing.
AI-generated training guides tailored to your team's size, skill level, and focus areas for Logic — coming in v0.3.2.
View our roadmap →We're building a review system so business owners like you can share real experiences with Logic.
Last researched: May 2026
