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: logic.inc·Verified May 2026
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
