Infinto · Tracks

Six starts. None of them finish you.

Each track is four weeks, roughly five hours a week, and ends in a worked artifact rather than a completion certificate. Nobody graduates — you finish one, Infinto re-audits you, and you start the one the new band points at. All six are graded by a practitioner in the relevant field. If you don't know which to take, run the audit — it recommends one.

Track 01 · Judgment

Reviewing what you didn't write

For anyone now signing off model output

Fluent text reads as correct. That's the whole problem. This track builds a repeatable method for checking work you didn't produce, fast enough to be practical at the volume the job now demands.

  • Week 1Error signatures in your own domain — what wrong output actually looks like when it's confident.
  • Week 2Sampling under time pressure: what to check when you can't check everything, and how to choose.
  • Week 3Adversarial review — finding the failure you'd have missed, on cases seeded with real errors.
  • Week 4Building a review protocol your team can run without you, and testing whether it catches what you catch.
  • ArtifactA written review protocol plus a scored record of your catches and misses on the seeded set.

Track 02 · Specification

Writing the brief

For people whose work arrives as tickets

Delegation to a model fails in the same place delegation to a person fails: an ask that sounded clear and wasn't. This track is about turning vague requests into constraints and acceptance tests that survive contact with someone else doing the work.

  • Week 1Interrogating the ask — finding the unstated constraint before you start.
  • Week 2Acceptance tests for non-engineers: what "done" means in a form someone can check.
  • Week 3Decomposition — splitting work so failure shows up early and cheaply.
  • Week 4Running a real delegation, to a model and to a person, and comparing where each broke.
  • ArtifactA specification for a live piece of your own work, with the delegation results attached.

Track 03 · Systems

Building your own tooling

For non-engineers who keep hitting the same wall

Most workflow problems don't need a platform team. They need one person willing to assemble something small and maintain it. This track covers doing that responsibly — including recognising when the answer is to not build it.

  • Week 1Mapping your workflow to find the step worth automating, which is rarely the annoying one.
  • Week 2Assembling the thing — scripts, agents, and the joins between tools you already pay for.
  • Week 3Failure modes: what happens when it breaks while you're on leave, and who is responsible.
  • Week 4Handover — documenting it so it outlives your interest in it.
  • ArtifactA working tool in use by at least one other person, with its handover document.

Track 04 · Evidence

Measuring whether it worked

For anyone asked to prove a change paid off

Almost every AI rollout is justified with a number nobody can defend. This track is evaluation design for people who aren't researchers: enough rigour to be honest, little enough overhead to actually get done.

  • Week 1Baselines — measuring the before, which is usually already too late.
  • Week 2Choosing a metric that can't be gamed by the thing you're measuring.
  • Week 3Sample size and noise, without the statistics course.
  • Week 4Reporting a result that includes what didn't work, and surviving the questions.
  • ArtifactAn evaluation of a real change in your own workplace, written up for a sceptical reader.

Track 05 · Risk

Owning the decision

For people who answer to clients, boards or regulators

A model can produce the recommendation. It cannot be accountable for it. This track is about what accountability requires once the work is partly machine-made — disclosure, defensibility, and the failure modes that end up somewhere formal.

  • Week 1Where liability actually lands when AI-assisted work goes wrong.
  • Week 2Disclosure — what to tell clients and colleagues about how the work was produced.
  • Week 3Building a record you could show a regulator, without drowning the workflow in it.
  • Week 4Distributing judgment so the team isn't one person deep. Case studies from finance, health and legal work.
  • ArtifactA disclosure and record-keeping policy for your own function, stress-tested against a failure scenario.

Track 06 · Persuasion

Explaining it upward

For people trying to change how work gets done

Being right about a workflow change is the easy half. The hard half is moving people who will be judged on the outcome and had no part in your reasoning.

  • Week 1Reading the room you're pitching into: what each person is actually protecting.
  • Week 2Making the case with evidence that survives a hostile question.
  • Week 3Handling the objection you can't answer, without losing the room.
  • Week 4Live pitch to a panel of practitioners, recorded and reviewed.
  • ArtifactA recorded pitch and the written proposal behind it, with reviewer notes.

Not sure which

Your skills decay. The audit says which ones, in four minutes.

Eight questions about how your week actually goes. Free, and nothing is stored.