Agents · AI workflows · Agent-native software
Be ambitious with AI.
We help founder and operator-led companies build agents and AI workflows into how the work actually gets done — so the team takes on more or better work to drive growth without piling on more headcount.
Executive level strategy.
Hands-on AI practitioner.
— Craig Sturgis, Founder
Agents · AI workflows · Agent-native software
Be ambitious with AI.
We help founder and operator-led companies build agents and AI workflows into how the work actually gets done — so the team takes on more or better work to drive growth without piling on more headcount.
Executive level strategy.
Hands-on AI practitioner.
— Craig Sturgis, Founder
Sound familiar?
By now, most of your people have tried ChatGPT, Copilot, or Claude. Some are getting real results. Some quietly put the tools back down. Almost nobody has changed how the work actually gets done.
So far, AI has shown up as training and individual tools — not as a redesign of the work itself. Meanwhile, the agents that emerged in the last six to twelve months are different. They can do bounded jobs end to end. That window didn't exist a year ago.
Most companies haven't caught up. That's the opportunity.
What we do — three layers
Most of the operating change lives in the middle layer. The other two make it stick.
Agents
Bounded helpers that do one job well — triage, draft, summarize, check, route. Useful on their own; better as pieces of something larger.
AI workflows
Multi-step work turned into a repeatable system. Where most of the operating change actually lives. Proposal review, customer onboarding, call analysis, executive reporting, AI-assisted spec / test / review for engineering teams.
Agent-native software
Internal tools and product features built from the start to be operated by agents alongside people. For software companies, that's product strategy and architecture. For services and operators, it's the tools and integrations that turn good workflows into durable systems.
Proven results
Real builders getting real results with working with Craig:
"Craig helped us build a culture around AI-assisted engineering. We've dramatically increased the pace of delivery even with 1/3 the capacity we had in 2024."
"Craig has been my "go to" hands-on technology and product executive for two different PE-backed companies. He is great at quickly getting to the core issues that need to be addressed and building trust with the Product / Eng teams to get them bought in and moving in the right direction. He is the rare combination of customer-focused, yet highly technical executive. I would work with him again in a heartbeat."
"Craig grasps the entirety of a complex problem instantly. High compute speed and quick collation of the facts and challenges. Can get to the distilled core of an issue quickly."
What we are — and what we are not
Most AI work right now is either slideware from generalists who don't ship, or implementation shops wiring up someone else's tool. Vibecto is the work in between.
We don't run generic training. We don't sell a chatbot. We don't write a forty-page strategy and hand it over. We sit alongside leadership, map where AI can actually change how the work gets done, build the first systems with the team, and teach the patterns so the team can keep going.
The point isn't efficiency theater. The point is ambition — being the firm that does more impressive work than its size implies.
How engagements work
Three shapes. Same practice underneath.
First month
A fixed-scope operating-change sprint. Map, ranked roadmap, one workflow shipped. Stands on its own if we stop there.
Ongoing
An AI operating partner for the team — month to month, hands-on, focused on expanding what's working and coaching internal champions.
Initiative partner
A time-boxed engagement tied to a single high-stakes bet, when the cost of getting it wrong is much higher than the cost of the engagement.
Who this is for (and who it isn't)
This is for you if
- You run or lead a founder-led business with real knowledge-work bottlenecks.
- A few people inside the company are getting interesting AI results — but it hasn't become a way of working.
- You want to be ambitious with AI without inventing the entire playbook yourself.
- You have someone internal who would work hands-on alongside us.
This is not for you if
- You only want a slide deck or a chatbot — no real change to how the work gets done.
- You want AI savings without inspecting or changing any workflows.
- Your procurement process would turn a one-month engagement into a six-month buying cycle.
- You don't have anyone inside the company who would work on this with us.
If you're after a one-off workshop with no follow-through, that's fine — head straight to the workshops page. If any of the rest is true, we'll save each other the call.
Why Craig
Craig Sturgis has been building hands-on with the current generation of agents and AI-assisted development tooling since the day ChatGPT shipped — mostly inside software product companies, now broadening into services and operations-led businesses.
The work has produced public writing, workshops, and live engagements (including high-stakes AI execution partnership with operating teams under real deadlines). Vibecto is what came out of doing the work in public for long enough that companies started asking for a version of it on theirs.
Resources & Insights
Discover practical guides and insights for AI-augmented engineering
Composable SDLC Automation with Skills (Scripts, Hooks, and Rules)
Recording and slides from my 25-minute talk at AI Indy on April 22, 2026 — how skills, hooks, CLAUDE.md, and GitHub Actions compose into a fully automated software development lifecycle.
540 Issues. 745 PRs. One Builder. 60 Days.
An experiment in finding the limits of what one product builder can do with an army of agents — and what makes that pace sustainable.
Ship the Right Things Fast with Kano Analysis
Not everything should ship at max speed. Kano analysis is my favorite tool for deciding what to let rip and what to prepare around.
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