Resources / Take something useful

A head start
for your next idea.

Templates, scripts, and playbooks to choose a project, brief the work, and check the result. Use them independently or bring them into a project with me.

THE AI AGENT PLAYBOOK / FREE & OPEN SOURCE

A team of agents.
A better way to build.

Developer and founder guides, specialist agent templates, hooks, and a starting constitution for your AI development team.

Explore the playbook
INSIDE THE PLAYBOOK
01Start with the foundations
02Define your specialist agents
03Set the rules of the workflow
04Build, review, and iterate

01 / Ready to use

Small tools. Clearer thinking.

FREE DOWNLOADS / NO SIGN-UP

02 / A small working script

Measure the
whole workflow.

Track run time, review, corrections, and pass/fail results in a local CSV. Because generating the answer is only part of the work.

Python 3.9+ · No dependencies · Runs locally
Download the script Download the usage guide
workflow-run-log.pyPYTHON
python3 workflow-run-log.py log \
  --csv ./experiments.csv \
  --workflow "Meeting follow-up" \
  --run-minutes 2.5 \
  --review-minutes 4 \
  --correction-minutes 1 \
  --result pass

python3 workflow-run-log.py summary \
  --csv ./experiments.csv
ONE EXAMPLE RUN

Run: 2.5 min + Review: 4 min + Fix: 1 min
Total effort: 7.5 min

03 / Keep these close

Four useful habits.

01SYSTEMS

Write the check before the prompt.

Name three things a useful result must get right. For meeting follow-ups, try decisions, action owners, and due dates. Use those checks on every test so a polished draft cannot hide a missing detail.

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02PROMPTS

Give missing information a label.

Tell the model what to write when a required detail is absent: ‘not provided,’ ‘needs confirmation,’ or a clear question. A visible gap is easier to resolve than a plausible guess inside a confident answer.

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03AGENTS

Separate the draft from the action.

Reading, drafting, and sending are three different permissions. State which actions are allowed in the handoff and name the point where a person reviews the result. The agent gets useful freedom inside a clear boundary.

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04PRACTICE

Count the minutes after generation.

Track checking and corrections alongside the initial run. Record failed attempts too. The useful comparison is the effort required to finish the whole task, using the same timing method for both your current process and the experiment.

Try it with a resource

04 / Open-source work

More from the workbench.

Bring what you know. Let’s build from there.

What could your
expertise become?

A recurring workflow, a specialist method, or a product idea. We’ll find a focused place to start.

Work with me