Grateful Labs · AI School

30+ Tips From 7 Live AI School Calls

Ten hours of building AI systems with real businesses, distilled. The first 10 tips are on the house - the rest unlock with your email.

Working with Claude day to day

1

One session per task

Keep a session going for the same workstream, start a new one when you switch to a genuinely different task. Watch the context meter before it fills.

2

The screenshot loop is the universal troubleshooter

Open a chat, state your goal once ("help me install Homebrew"), then just keep pasting screenshots of your terminal. Claude follows along and gives machine-specific instructions - no need to re-explain each step.

3

Debugging? Switch to the smarter model

Error messages and path problems get much better answers from the top-tier model than the default.

4

Keep a Claude session open during any setup task

When something breaks, paste the error and the URL. Not needed when things work; a lifesaver when they do not.

5

Use your CEO skill freely

There is no harm in over-invoking it, and every invocation keeps it aware of what you are working on.

6

Run multiple Claudes in parallel

Ten sessions working in the background while you work is the real productivity multiplier. When one platform went down for days, Max moved the whole workload into 3-5 parallel Claude Code sessions on the same codebase.

Building and maintaining skills

7

The trigger for a new skill: you told Claude the same thing twice

Then just say "make a skill out of what we did today."

8

Skills are recipes

Write them with the smartest model, then let cheaper models execute them.

9

Skills are model-optimized

When a new model generation lands, have it rewrite your skills - but wait for the transition to settle before converting everything.

10

When an agent goes off the rails

Over-building, stacking buggy work on buggy work: update its skill with more specific rules, and add a required review step where it checks its own work and pauses for your sign-off before building anything new.

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From the Grateful Labs AI School - live builds, bootcamps, and a community of builders.