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Logic

Logic helps engineering and product teams quickly build, deploy, and operate large fleets of production AI agents. Instead of wiring together frameworks, prompts, retries, eval harnesses, RAG, observability, model routing, integrations, and deployment infrastructure by hand, teams write structured specs that describe what each agent should do. Logic turns those specs into managed agents with evals, observability, RAG, versioning, typed schemas, model routing, and production controls built in.

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# Logic

Logic helps engineering and product teams quickly build, deploy, and operate large fleets of production AI agents. Instead of wiring together frameworks, prompts, retries, eval harnesses, RAG, observability, model routing, integrations, and deployment infrastructure by hand, teams write structured specs that describe what each agent should do. Logic turns those specs into managed agents with evals, observability, RAG, versioning, typed schemas, model routing, and production controls built in.

Logic is built for technical teams that need agents to run reliably across real workflows, not just demos. Logic agents can be called via MCP, REST, web UI, or a dedicated email address. They can read 130+ document formats, fill PDF forms, semantically search knowledge libraries, send and receive email, do research, generate and annotate images, call HTTP APIs, and connect to tools such as Linear, Notion, and MCP endpoints.

Logic is also useful for operations and business teams that want to automate judgment-heavy work without owning agent infrastructure. Common use cases include content moderation, document parsing, data extraction, medical coding, user onboarding, policy review, operational routing, and back-office automation.

Logic has been used by 250+ organizations to automate more than 4M agentic tasks. Production users include teams at Routable, Paid.ai, Neuranimus, Garmentory, and DroneSense. Logic is SOC 2 Type II and HIPAA certified.

## Core Product Pages

- [Homepage](https://logic.inc/): Overview of Logic's platform for building and operating fleets of production AI agents.
- [Features](https://logic.inc/features): Core capabilities for agent specs, evals, observability, RAG, versioning, model routing, integrations, and deployment.
- [Pricing](https://logic.inc/pricing): Pricing and plan information.
- [Resources](https://logic.inc/resources): Guides and articles for production AI agents, fleet operations, automation, orchestration, and evaluation.

## Start Building

- [Agent Templates](https://logic.inc/workflows): Public examples of agents and workflows that can be adapted into production agent fleets.
- [Documentation](https://docs.logic.inc/guides/introduction): Developer documentation and API guidance.
- [Bits of Logic](https://bits.logic.inc/): Product updates, essays, and company writing from Logic.
- [Agentic Coding Arena](https://arena.logic.inc/): Side-by-side comparisons of frontier coding agents on identical prompts.

## High-Value Guides

- [How to Build an AI Agent](https://logic.inc/guides/how-to-build-an-ai-agent): Practical guide to taking AI agents from prototype to production.
- [LangChain Alternatives](https://logic.inc/resources/langchain-alternatives): Comparison of production AI framework alternatives.
- [LangGraph Alternatives](https://logic.inc/resources/langgraph-alternatives): Comparison of LangGraph alternatives for production AI orchestration.
- [Best AI Model Orchestration Platforms](https://logic.inc/r
…

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