Pre-built intelligence for common tasks. Composable architecture for unique challenges. Every agent accepts typed inputs, executes domain-specific logic, and produces structured outputs.
Each agent is purpose-built for a specific job. Compose them together to build workflows as simple or sophisticated as your process requires.
"The brain that reasons through complexity."
Uses LLM reasoning to make structured decisions. Every decision comes with confidence scores, evidence, and auditable reasoning.
Risk assessment, classification, routing decisions, recommendations, approvals
"The quality gate that never sleeps."
Evaluates content against multiple criteria with weighted scores and pass/fail determinations. Combines LLM evaluation with programmatic checks.
Content quality gates, compliance verification, output validation, review workflows
"The shield that protects your workflows."
Enforces safety and policy through multi-layer validation. Stack PII detection, content filtering, LLM moderation, and custom checks.
Input sanitization, compliance enforcement, content moderation, security screening
"The eyes that see through unstructured data."
Processes multi-modal content through configurable pipelines. Images, documents, audio -- extract intelligence from any format.
Document processing, image analysis, form extraction, media classification
"The creator that scales your output."
Creates text, images, audio, and documents using LLM and specialized models. Built-in post-processing ensures quality.
Report generation, email composition, marketing content, document creation
"Turn procedures into conversations that execute."
Transforms SOPs into autonomous agents that guide customers through complex workflows across voice, SMS, WhatsApp, and webchat.
Scheduling, service dispatch, claims intake, onboarding, outbound reminders
Interaction layer for natural language. Orchestration layer for state and flow. Decision layer for business rules. Intelligence layer for ML scoring. Data layer for integration. Each layer uses the right technology for its specific job.
Circuit breakers prevent cascading failures. Retry policies with exponential backoff handle transient errors. Event-driven architecture eliminates polling. Full observability shows you exactly what's happening at every layer.
Package workflows as self-contained units with input/output contracts. Compose using call steps, fork-join parallelism, or inline expansion. Publish capability cards for AI-powered discovery.
The Reason-Act-Observe pattern, modularized for control.
Micro-ReAct implements autonomous multi-step task completion with built-in controls. Four specialized agents work in a loop: Reasoner analyzes goals, Router selects tools, Observer normalizes results, Terminator decides when to stop.
Analyzes goals and produces intent
Selects tools with validated args
Normalizes tool results into facts
Decides when workflow completes
Set maximum loop iterations
Cap tool calls per iteration
Prevent context window overflow
Escape unproductive loops
LLM judgment + hard rules
The Agent Builder is a conversational workflow that guides you through creating any agent type -- step by step, turn by turn. Describe what you're building, answer its questions, and receive a production-ready configuration. No forms. No schemas. Just a conversation that outputs a deployable agent.
Rapid prototyping, standardizing agent patterns across teams, building without boilerplate, iterating from idea to deployment in minutes.
What the agent should do, in plain language
Clarifying questions to nail down requirements
Sensible defaults you can accept or override
Catching conflicts before they become bugs
Runtime-ready JSON you can deploy immediately
Want to see it in action?
Start with "Build me a..." and let the Agent Builder take it from there.
Try Agent BuilderJoin the teams moving from AI pilot to production with the right architecture.