Agents
Bounded helpersOne 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
The Vibecto practiceBe more ambitious
Be more ambitious
with AI.
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.
What just became practical with AI — monthly. One briefing on what changed, what capable teams are doing with it, and what's worth trying now — plus access to the automation library and its ongoing additions.
No spam, everUnsubscribe anytimeMonthly updates
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.
AI workflows
Multi-step systemsWhere 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 agentsInternal 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.
01Inbound→
02Agent · triage→
03Human · review→
04System of record→
05Customer update
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.
Read the detailsOngoing partner
Keep expanding the useful patterns, improve what shipped, and build internal judgment as the tools change.
Read the detailsInitiative partner
Senior outside judgment alongside your team for one high-stakes bet with a real deadline.
Read the detailsA first-class entry pointBring a real project.
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.
Explore workshopsInsights from the work
The public trail matters: current tools, honest limitations, and patterns earned by building.
Delete Your Backlog? Try an Agent Burndown First
An agent workflow that works through an old product backlog, closing obsolete work while finding the requests that still deserve to be built.
Read insightCodify Senior Judgment to Scale AI Impact
Scaling impact with AI comes from codifying senior judgment into skills and agent workflows—which also becomes the training material for the people still climbing the ladder.
Read insightWhat 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