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Learn · checked execution paths

Practical AI Tutorials

Produce one useful, reviewable artifact—not a list of generic tips.

Each tutorial defines the inputs, sequence, human checkpoints, evidence status, deliverables, and the conclusions the work cannot support.

← Back to LearnBrowse tutorials

Four maintained starting points

Choose the artifact you need to produce.

Workflow tutorials now live inside Learn. Technical component choices remain in Tools and Stacks.

Evaluation workflow30–45 min

Run a reviewed AI output comparison

Define one task, capture controlled outputs, review claims against evidence, and publish a bounded decision record.

Outcome
A versioned comparison record and a clearly bounded next experiment.
Level
Intermediate
Used at RichBay
Start the tutorial →
Research and publishing60–90 min setup

Build an evidence-bound AI content workflow

Use AI to help research and draft one useful page while a human owns the sources, claims, publication decision, and review date.

Outcome
A reviewed page packet with a source ledger, claim checks, disclosure, owner, and next review date.
Level
Intermediate
Used at RichBay
Start the tutorial →
Build and deployment2–4 hours

Deploy an AI product on Cloudflare Workers

Choose the current Next.js deployment path, bind only the services the product needs, and release with a reversible production check.

Outcome
A versioned production deployment with validated bindings, a public release marker, smoke checks, and a rollback path.
Level
Intermediate
Used at RichBay
Start the tutorial →
Product building7 focused sessions

Launch one AI product flow in seven days

Use a seven-session cadence to scope, build, verify, release, and review one complete AI-assisted product flow.

Outcome
One usable end-to-end flow, a release record, early observations, and a decision to iterate, package, or stop.
Level
Intermediate
Used at RichBay
Start the tutorial →