What is your typical project timeline?
Timing depends on scope, existing systems, integrations, and review needs. After discussing those constraints, we can agree on milestones and a delivery estimate.
Do you offer ongoing support after project completion?
Yes. We can discuss a retainer or separately scoped work for bug fixes, feature additions, and maintenance. Capacity, response expectations, and pricing are agreed before work starts.
What technologies do you work with?
For AI: Anthropic/Claude, OpenAI, the Vercel AI SDK, RAG pipelines, MCP servers, and agent orchestration with tools like Claude Code, Hermes, and OpenClaw. For web: React, Next.js, TypeScript, Node.js, and Python. For infrastructure: AWS, Vercel, and Docker. Full list on the About page.
What does an AI agent project actually look like?
It might help people search your content, assist with an internal task, or coordinate steps across your tools. We define the data it can access, the actions it can take, approval requirements, and test cases before building. Model output still needs evaluation and appropriate review.
Can you set up a personal or team AI agent for us?
Yes. A setup can include Hermes or OpenClaw configuration, custom skills, tool connections, and scheduled tasks. We agree on permissions, approval steps, and how failures are reported. You receive the configuration and documentation at handoff.
Can you review what we're spending on AI?
I can review actual usage and evaluate model selection, caching, context size, and batching. Any proposed changes should be checked against output quality and measured cost. Savings depend on the workload and current setup.
Can I contact you about a full-time role?
Yes. I welcome full-time engineering opportunities as well as freelance projects. Send the job description, a little about the team, and your timeline. We can discuss the role and any hiring logistics directly.
