AI integration services: RAG, agents and automation

AgenticCore builds production AI systems for teams that already know what they want to automate and need someone who can own the schema, the model layer and the deploy pipeline at the same time. Three service lines, each scoped as a fixed deliverable.

What I build

• RAG development
  Document search and question answering over your own data: chunking, embeddings, pgvector or a managed vector store, reranking and citation-grade answers with evals.
• AI agent development
  Tool-calling agents that do work instead of chatting: LangGraph-style state machines, MCP tool servers, retries, guardrails and human-in-the-loop checkpoints.
• AI automation
  Workflow automation for operations-heavy teams: lead qualification, document intake, support triage and internal copilots, measured against the process they replace.
• Serverless AI backends
  Edge-deployed APIs on Cloudflare Workers and Postgres with row-level security, streaming responses, queues and cost controls that survive real traffic.

How engagements are scoped

Systems Audit — one week, a written architecture and cost review with a build plan you can hand to anyone. Pilot Build — two to three weeks, one narrow workflow shipped to production with evals. Full System — six to ten weeks, the complete platform with CI/CD, monitoring, runbook and handover.

Common questions