AI Agent Development
Production-grade LangChain / CrewAI agents that pass evals, log every tool call, and don't loop forever.
Most agent demos break in production: undefined tool calls, infinite loops, hallucinated outputs. I'll ship an agent with a real eval harness, schema-validated tool use, loop guards, and dashboards — the same testing rigor I bring to QA.
Single-agent or multi-agent systems for support, QA copilots, and workflow orchestration. Documented runbook, observability built-in, 30-day post-delivery support.
AI agents built using LangChain, LangGraph, AutoGen, or CrewAI
Single-agent and multi-agent system design
Agents for customer support (FAQs, triage, ticket assistance)
QA assistants for testing, documentation, and release workflows
Data extraction and enrichment agents for unstructured content
Workflow automation and orchestration across tools and APIs
Tool integration (REST APIs, databases, webhooks, internal services)
Context management with vector stores and RAG pipelines
Guardrails for safety, access control, and compliance
Monitoring, logging, and observability setup for agents
Evaluation and continuous improvement loops for agent behavior
Production-ready AI agent codebase and configuration
Architecture and workflow diagrams for agents and tools
Prompt templates and reasoning workflows documentation
Integration with your existing tools and APIs (where applicable)
Deployment setup (containerized, serverless, or cloud-based as suitable)
Operational runbook and troubleshooting guide
Knowledge transfer / training session for your team
30 days post-delivery support
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