Overview
Logic is a spec-driven AI agent platform that lets operations teams turn written procedures into production-ready automations without building infrastructure. You write a plain-English specification describing what an agent should do, and Logic handles multi-model routing, versioning, API generation, and execution logging — everything between "this is our process" and "this is running in production."
Logic is a spec-driven AI agent platform that lets operations teams turn written procedures into production-ready automations without building infrastructure. You write a plain-English specification describing what an agent should do, and Logic handles multi-model routing, versioning, API generation, and execution logging — everything between "this is our process" and "this is running in production."
The platform targets enterprises and operations teams with recurring decision-making processes: content moderation, invoice and purchase-order processing, onboarding personalization, resume screening, support ticket classification, and product listing moderation. Logic's design partners have converted Standard Operating Procedure documents into live APIs in under 60 seconds, and the platform says it processes 250,000+ jobs monthly.
Logic's main positioning versus framework-based alternatives like LangChain or CrewAI is that it bundles managed testing, versioning, APIs, and execution logging out of the box — no prompt management code, no custom versioning system, no hand-rolled test harness. Teams skip the three-month infrastructure phase that typically precedes deploying a reliable agent in production.
Key Features
- Spec-Driven Architecture — Write plain-English specifications describing agent behavior instead of code. What you write is what your agent does — no SDK integration, no prompt engineering framework, no template syntax to learn.
- Multi-Model Routing — Automatically routes requests across OpenAI, Anthropic, Google, and Perplexity models, matching fast models to simple tasks and frontier models to complex reasoning, with automatic failover to prevent single-provider outages from disrupting workflows.
- Immutable Versioning & Rollback — Every agent version is locked and referenceable. One-click rollback to any prior version eliminates the version scatter common in teams maintaining multiple prompt files across shared drives.
- Auto-Generated Production APIs — Each agent instantly exposes as a strictly typed REST API with auto-generated documentation, shareable input forms, and a web UI — no frontend work required to give non-engineers access to the agent.
- Document & Integration Layer — Processes 130+ document formats, fills PDF forms, searches uploaded documents through Logic's knowledge library, sends emails, and calls HTTP APIs, and supports MCP connections to tools such as Notion, Jira, and Linear, alongside its own agent API layer.
- Observability & Compliance — Full execution logs with request and response details on every agent run. SOC 2 Type II certified with 79+ security controls; HIPAA certified on Enterprise. Customer data is never used for model training on paid plans.
How It Compares
| Tool | Approach | Infrastructure | Best For |
|---|---|---|---|
| Logic | Spec-driven, managed platform | Fully managed (testing, versioning, APIs, logging included) | Ops teams deploying production agents without engineering overhead |
| LangChain / LangGraph | Python framework | DIY (build your own testing, versioning, deployment) | AI engineering teams with full infrastructure capacity |
| CrewAI | Python framework, role-based agents | DIY with managed cloud option | Multi-agent orchestration with defined agent roles |
| n8n | Visual workflow builder | Self-hosted or cloud | Teams wanting a visual, self-hosted automation canvas |
| Zapier | No-code, 8,000+ integrations | Fully managed | Simple, linear automation between SaaS tools |
Logic's core trade-off vs. frameworks: you gain production-ready infrastructure immediately but work within the spec-driven model rather than writing arbitrary code. Against visual automation tools like n8n and Zapier, Logic is better positioned for typed, testable agent decisions, while those tools remain stronger for broad SaaS trigger/action coverage.
Pricing & Plans
Logic charges for tokens consumed (agent work), not seats — all plans include unlimited users.
| Plan | Monthly Price | Tokens Included | Storage | Key Perks |
|---|---|---|---|---|
| Free | $0 | 15M (one-time) | 10 MB | Up to 5 agents, 7-day log retention |
| Pro | $49 | 70M/month | 1 GB | Unlimited agents, 30-day logs, SOC 2, email support |
| Scale | $299 | 430M/month | 25 GB | SSO/SCIM, 90-day logs, Slack support, hands-on onboarding |
| Enterprise | Custom | Custom | Custom | HIPAA, dedicated Slack, priority support |
Overage pricing is transparent: $1 per 1.4M tokens on Pro and Scale plans, but specialized operations still have monthly maximums for image generation, research queries, audio minutes, and document pages. The free tier's 15M one-time tokens is enough to build and test several agents before committing to a paid plan. Paid plan upgrades are prorated mid-month; downgrades take effect at the next billing cycle.
Best For
- Operations teams with documented SOPs ready to automate — invoice approval, content moderation, procurement, onboarding
- Organizations in regulated industries that need SOC 2 coverage on paid plans, or healthcare workflows that require Enterprise/custom HIPAA support with a BAA
- Teams that have tried building agents on LangChain or similar frameworks and want to skip the infrastructure phase
- Mid-market and enterprise companies where non-technical stakeholders need to update agent logic without developer involvement
- Organizations where audit trails and execution logging are non-negotiable requirements
FAQ
Does Logic require coding knowledge?
Agents are defined using plain-English specifications. Non-technical users can write specs and update agent logic without code. Developers can also use Logic's HTTP APIs and integrations for custom workflows.
How does token-based pricing work?
Each agent execution consumes tokens based on the complexity and length of the task. The Pro plan includes 70M tokens per month; overages cost $1 per 1.4M tokens. The free tier provides 15M one-time tokens to evaluate the platform.
What compliance certifications does Logic hold?
Logic is SOC 2 Type II certified with annual audits and 79+ security controls. HIPAA certification is available on the Enterprise plan. Customer data is never used for model training on paid plans.
Which AI models does Logic support?
Logic routes across OpenAI, Anthropic, Google, and Perplexity models automatically, matching model capability to task complexity. Teams don't need to manage model selection — Logic handles routing and failover.
Can I connect Logic to tools my team already uses?
Yes. Logic integrates natively with Linear, Notion, and MCP endpoints, plus supports document processing (130+ formats), email, and arbitrary HTTP API calls. Teams can connect Logic to most business tools through its API layer.
How is Logic different from Zapier or n8n?
Zapier and n8n connect pre-built triggers and actions with limited reasoning capability. Logic is designed for multi-step decisions with complex logic — content moderation policies, approval rules, medical coding criteria — that can't be expressed as simple if-then flows. For background on how AI agents communicate in modern stacks, see the Agent-to-Agent (A2A) protocol guide.
Is there a free trial?
Yes. The free tier includes 15M one-time tokens and supports up to 5 agents — enough to build and test real automations before upgrading.
How does versioning work?
Every agent version in Logic is immutable. When you update a spec, the previous version is preserved and referenceable. One-click rollback lets teams revert to any prior version instantly, without redeployment or file management.
