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Logic

Logic

Unclaimed

Write specs, ship agents—no code required.

Updated Jun 2026 · Added Jun 2026
logic.inc
Ai AgentsFreeai-agents-tools
Logic

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What is Logic?

Logic is a spec-driven agent platform that lets you write AI agents in plain English and deploy them as production-ready APIs in seconds. Define agent behavior, inputs, and outputs through natural language specs—no frameworks or SDKs required. Built-in testing, versioning, intelligent model routing, and observability ensure your agents are reliable, stable, and debuggable from day one.

Key Features of Logic

  • Spec-driven agent design in plain English
  • Built-in test harness with automatic regression detection
  • Git-like version control with instant rollback
  • Strictly typed REST API auto-generation
  • Auto-generated API docs and web UI
  • Intelligent model routing across OpenAI, Anthropic, Google, Perplexity
  • Automatic failover and execution caching
  • MCP server integration for Claude, Cursor, ChatGPT
  • Batch processing via CSV
  • Complete execution logging with full context
  • Approval workflows for non-technical spec editors
  • CI/CD integration via API

Who Should Use Logic?

Scan and redact personal data from text with detailed reporting

Evaluate product listings against policies and provide moderation decisions

Analyze contracts to flag risky clauses and extract key terms

Match records across systems with confidence scoring

Extract structured line items from invoices and POs

Personalize onboarding experiences based on signup context

Score and screen resumes against job descriptions

Triage support tickets by priority, sentiment, and category

Logic: Pros & Cons

Pros

  • Eliminates need for separate frameworks, SDKs, and custom code
  • Inline testing with automatic regression detection catches issues early
  • Version control with transparent diffs and instant rollback provide stability
  • Intelligent model routing optimizes cost and latency automatically
  • Automatic failover ensures reliability
  • Execution caching provides instant results for deterministic workloads
  • Complete observability with full execution logging and context
  • Approval workflows enable non-engineers to update agent logic
  • MCP server integration allows native use in Claude, Cursor, and ChatGPT
  • Batch processing simplifies bulk operations

Tool Details

Pricing
Free
Category
Ai Agents
Added
Jun 2026
Last Updated
Jun 2026

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