Diagnose · Build · Teach · Advise

What is actually stopping the work?

Start with the symptom. I find the constraint — then build, teach, or advise in whatever form actually moves the work forward.

Book a free discovery call See the outcomes
Daniel Petro smiling in a suit

Built with teams at

Selected field notes

Teaching, speaking, and building in public.

The hand-picked moments that show the work in the room, not just the finished artifact.

The method

Every engagement runs the same four steps, whatever the work turns out to be.

  1. 01

    Symptom

    What is getting in the way, in your words?

  2. 02

    Constraint

    What is the real limiting factor underneath it?

  3. 03

    Choice

    Which response moves it — build, teach, or advise?

  4. 04

    Outcome

    What changes, and how will we know it worked?

Start here

Find the sentence that sounds like your team.

“We need this product or system built.”Software delivery“Our team cannot use AI with confidence.”Organization enablement“Our engineers need stronger patterns.”Engineering education“We are making a high-stakes product decision.”Product & technical direction
01

Build what is missing.

I design and ship the systems a team needs so the work can move — from AI products to backend infrastructure and developer tooling.

selftune.dev selftune homepage showing skill-level observability for AI agents SessionBridge SessionBridge AI memory platform interface Navi v1 Safety Platform Mobile safety app screens with live location sharing
02

Teach what must become repeatable.

I raise how a team works rather than handing over artifacts they cannot maintain.

Daniel Petro working with a team

Two modes

Engineering patterns

Architecture, agent-ready backends, MCP, and practical AI development.

Organization enablement

Confidence, governance, and workflows that help teams adopt AI responsibly.

03

Advise where the decision matters.

Before the roadmap, the diagnosis. I cut through the noise to the constraint, then map the choices that change the outcome.

Most AI projects do not fail on the technology. They fail on the decision made three months earlier.
Scope

What to build, what to buy, and what to leave alone.

Sequence

Which problem must be solved first for the rest to become easy.

Readiness

Whether the team, data, and architecture can carry the plan.

04

Proof, not posture.

Verified results from real delivery. No placeholder outcomes and no invented testimonials.

6×

faster setup — connecting Xano in an n8n workflow, from 30 minutes to 5.

0

extra headcount needed to rebuild and migrate Penny to Flutter.

Explore all project evidence

Start with the symptom. We will find the constraint.

A 60-minute session. Bring the thing that is stuck — leave with a diagnosis and a recommended next step, whether or not we work together.

Book a consulting session

Ways to work together

Diagnostic sessionOne conversation and a recommended path.
WorkshopA day with your team.
Embedded sprintBuild alongside the team until it ships.