The Vibecto practice

Be more ambitious
with agents.

Vibecto helps founder-led companies build agents and AI workflows into how the work actually gets done — so you can take on the work that wasn't feasible before, and grow with the team you already have.

Portrait · Craig SturgisCraig Sturgis
Builder · operator · outside execution partner
The gap

Activity is not transformation. The useful question is what you would do for your customers if the economics of doing it changed.

Some people tried it.
Some put it back down.
Almost nobody changed the work.

A few people are getting impressive AI results. Others have quietly put the tools back down.

Leadership is under pressure to show AI progress without anything that looks like real change.

There is no clean picture of where AI should actually change the business.

Most AI adoption so far has been training and individual tools, not operating change.

Meanwhile, the economics of the work changed. Things that were too expensive, too manual, or too slow to bother with are suddenly on the table.

What we build

Three layers, smallest to largest — aimed at the work that used to fail the ROI test.

Agents

Bounded helpers

One job, done well — on every item, not a sample. Triage, classify, summarize, route, draft, check.

  • Every inbound triaged
  • Every call summarized
  • Every exception investigated
  • First-draft proposals

AI workflows

Multi-step systems

Where most of the operating change lives: multi-step work turned into a repeatable system, at a volume that used to take a new hire.

  • Proposal → SOW
  • Discovery synthesis
  • Meeting → deliverable
  • An individual update for every account

Agent-native software

Built for agents

Internal tools the business needed but could never justify building, and product features designed from the start to be operated by agents alongside people.

  • Long-deferred internal tools
  • Agent-driven features
  • Spec and test harnesses
  • Measurement layers
The value isn't the labor you eliminate. It's what you choose to do with the capacity you create.

The Vibecto thesis · in plain language

One value stream

Map the work first. Put agents only where the boundaries, handoffs, and judgment are clear enough.

Ways to work together

Start small enough to learn something real. Continue only when the work earns it.

The first ninety days

A quarter to map one area, ship the first agents and workflows, and teach your team the pattern. Checkpoints each month.

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Ongoing partner

Keep expanding the useful patterns, improve what shipped, and build internal judgment as the tools change.

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Initiative partner

Senior outside judgment alongside your team for one high-stakes bet with a real deadline.

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A first-class entry point

Bring a real project.
Leave with a working pattern.

Small-group, hands-on workshops for teams and individuals. They are useful on their own and often become the first step toward deeper work.

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Insights from the work

The public trail matters: current tools, honest limitations, and patterns earned by building.

Jun 18, 2026 · 3 min read

What If Money Was No Object?

A CFO asked me that while I was on the hot seat. Agents change the old Mythical Man-Month math—but going fast in the wrong direction is still waste.

Read insight
Free, growing automation library

Steal the AI automations I use to run my work.

Start with ten practical workflows, then get useful ongoing additions for the kind of work you actually do. If you subscribed to the briefing above, the same email signs you in.

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