Skip to content
Tacit Engine
Request
L-100

Three courses on engines that learn from experts.

Short, hands-on, and tied to the demos. No account, nothing to install. Each course ends with a check-your-understanding quiz.

L-101 · TE 101

Tacit knowledge and feedback loops

Owners, managers, and experts who have never built an AI system.

You will be able to say what an engine is, what the loop does, and whether your work has one in it.

  1. 01What an expert knows that the manual does not
  2. 02What we mean by an engine
  3. 03The loop: propose, review, capture, improve
  4. 04Does your work have an engine in it?
  5. 05What it costs and what it returns

About 45 minutes

Start TE 101

L-201 · TE 201

Designing an engine

Experts and the people who will work with them: estimators, engineers, dispatchers, and their managers.

You will be able to lay out an engine for one decision: inputs, tables, rules, tests, and the first review queue.

  1. 01Choosing the inputs
  2. 02Encoding the tables
  3. 03Rules: corrections with conditions
  4. 04Tests and the first review queue
  5. 05From proposal to ticket

About 90 minutes

Start TE 201

L-301 · TE 301

Running engines in production

Owners and technical leads deciding what to build and how to run it.

You will be able to specify the review queue, the evaluation, the drift checks, and the go/no-go for unattended use.

  1. 01Architecture: deterministic core, model at the edges
  2. 02Designing the review queue
  3. 03Evaluation, drift, and rule conflicts
  4. 04The go/no-go for unattended use
  5. 05Scope, cost, and return

About two hours

Start TE 301