About
Craig Sturgis — executive, builder, hands-on AI practitioner.
Twenty-plus years building and leading product — time in the boardroom as an executive, time in the codebase as a builder. Vibecto is the practice that came from taking that strategic context all the way down into the weeds with the current generation of agents and AI workflows, because the real leverage with AI shows up where executive judgment meets the details.
Why this practice exists.
Most AI consulting today is either slideware from generalists who don’t ship, or implementation shops that wire up someone else’s tool. I’ve spent the last few years building with these tools in the real way — shipping with them, getting burned by them, learning where they create real impact and where they create chaos — and what kept coming back from people I respect was a version of the same question: can you do this with us, not just tell us about it?
Vibecto is the answer. A small practice, intentionally hands-on, intentionally limited in how many clients it takes at a time. The work is operating change with AI — not training, not slideware, not a chatbot.
What I’m building with right now.
Not a tech-stack flex — a credibility signal that this is a current practice, not a frozen-in-time bio. The list moves as the tools move.
Daily tools
- Claude Code, Claude Cowork, Codex
- OpenClaw, etc.
- Agentic SDLC with skills
- MCPs, CLIs
- Any language, any framework
- Any runner (n8n, AWS, GCP, Azure, etc.)
Managed agent platforms
- Anthropic managed agents
- OpenAI agents on Bedrock
Open-weight models
- Qwen, Kimi, Gemma, DeepSeek, etc.
- Reached for when control over deployment, cost, or capability matters.
Public work and writing.
Where I am.
Indianapolis, working with companies across the Midwest and remote. Available for limited travel.