AI agent builds

Build AI workflows that do useful work, not just demos.

I help teams design and implement agentic workflows that connect models to tools, documents, APIs, approvals, and ordinary application code.

Common work Workflow design, prototype builds, API/tool integration, guardrails, and evaluation loops.
Platforms AWS Bedrock, agent frameworks, .NET, Python, browser automation, and API backends.
Outcome A narrow working system plus a clear path to production hardening.

Good fit projects

Internal assistants

Agents that retrieve context, call internal APIs, draft work, and route exceptions to humans.

Document workflows

Extraction, classification, summarization, review queues, and system-of-record updates.

Operational automation

Model-assisted workflows for support, reporting, intake, research, QA, or data cleanup.

What I would inspect first

Workflow shape

  • Who uses it and what decision it supports.
  • Which steps need model judgment and which should be normal code.
  • Where humans approve, correct, or audit the result.

Production risks

  • Tool permissions and data access.
  • Cost per run and expected volume.
  • Failure modes, logging, evaluation, and fallback behavior.
Start here

Describe the workflow you want the agent to handle.

Include the current tools, data sources, and what a successful first version would do.

Request review
An error has occurred. This application may no longer respond until reloaded. Reload 🗙