Logic logo

Logic

Build and operate fleets of agents

Logic preview

What is Logic

Logic is a spec-driven platform that lets you define AI agents using structured specifications, then deploys them as fully managed, production-ready APIs with built-in evals, observability, and intelligent model routing. It eliminates the weeks of manual wiring and infrastructure setup typically required to ship a real AI agent, enabling teams to build and operate fleets of agents in minutes.

Key Features

Structured spec-based agent definition with typed inputs/outputs
Automated evals, observability, and logging out of the box
Intelligent model routing across OpenAI, Anthropic, Google, and Perplexity with automatic failover
Auto-generated API docs, shareable web UI, and MCP server integration
Batch processing for running agents against entire CSV datasets

Use Cases

  • Developers quickly building and deploying custom AI agents for customer support, data processing, or automation
  • Product teams creating internal tools with natural language interfaces and managed APIs
  • Enterprises needing to orchestrate multiple AI agents with consistent monitoring and fallback strategies
  • AI researchers prototyping and testing agent behaviors with built-in evaluation harnesses

Why do startups need this tool?

Startups need to move fast, and Logic lets you launch AI agents in minutes instead of weeks. By abstracting away model routing, observability, and evaluation, Logic reduces infrastructure overhead and allows small teams to focus on core product logic. Its built-in best practices and scalable API also mean startups can iterate quickly without worrying about production readiness.

FAQs

Logic Alternatives

LangChain
AutoGPT
CrewAI
Vellum
Agno