Practice Area · AI Agent Development
AI Agent Development
Stateful AI agents and Corrective RAG pipelines with verifiable citation checks, Critic agents, and structured outputs in LangGraph. Book a call.
Core Scope & Focus
Agents that keep context across conversations, answer from verified sources, and hand off to people when they should.
Common Production Challenges Solved
- 01.Chatbots that forget earlier messages in a thread
- 02.Answers that aren't grounded in your own data
- 03.Free-form LLM output breaking downstream steps
- 04.No clear escalation path to a human
Technology Stack & Tooling
LangGraphCRAGLlamaIndexpgvectorFastEmbedn8nLangflowGroqGeminiOpenAITavily
Documented Production Proof
- ✓6-node LangGraph Corrective RAG engine that answers 250+ question security reviews, with every answer required to cite a verified source
- ✓Autonomous AI email agent with thread-state memory and Groq inference
- ✓Planner-synthesizer research agent grounded in live web sources with citations
- ✓JSON-mode enforcement for schema-valid LLM output in production
Related Case Studies
Interested in discussing AI Agent Development?
Available for technical consultations, hands-on pipeline engineering, or comprehensive QA audits.
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