Logic includes orchestration, prompt management, schema validation, retry and fallback logic, model routing, test generation, versioning with rollbacks, and logging. These components typically require 4-8 weeks of engineering time before your first AI feature goes live.

Logic automatically routes requests to the optimal model across OpenAI, Anthropic, Google, and Perplexity. Routing decisions are based on task complexity, cost, and latency requirements. You don't need to manage model selection or switch providers manually.

Yes. Logic is SOC 2 Type II certified and HIPAA certified, with annual audits. Data is encrypted in transit and at rest, with strict access controls and full audit logging. Logic does not train on your inputs or outputs.

Yes. You can update decision rules anytime without redeploying. API contracts stay stable, and every change is validated and versioned. Built-in rollbacks let you revert instantly if needed.

Logic works well for document processing, moderation workflows, scoring and classification, content optimization, voice processing, and custom internal workflows. Teams use it to extract data from invoices and contracts, review content for compliance, evaluate leads or tickets, refine SEO copy, transcribe calls, and handle recurring decisions that need human-like judgment.