An assistant that receives a goal, gathers missing context, follows clear boundaries, works through a repeatable process and returns a structured result for you to review.
Before you start: choose one real job
Don't build a vague “super assistant.” Pick one repeatable job: turn rough notes into a meeting brief, plan a study session, compare business tools, prepare questions for a client call, or organize a weekly priority list.
Write the job in one sentence.
“This assistant helps me ______ so that I can ______.” If the sentence contains five different jobs, narrow it.
Step 1 — Define the job
Tell the AI exactly what role it is performing and what success looks like. A useful assistant has a job description, not just a personality.
You are my [ROLE] assistant. Your job is to help me [SPECIFIC JOB]. A successful result should [DESCRIBE THE OUTCOME]. Do not expand into unrelated tasks unless I ask.
Step 2 — Give it context
AI fills gaps with assumptions. Reduce those assumptions by giving it the information that actually changes the answer: audience, constraints, preferences, deadline, available resources and desired depth.
Before doing the task, identify the context you need. Ask me only the questions that would materially improve the result. Do not ask for information that is unnecessary.
Step 3 — Set boundaries
A good assistant needs rules for uncertainty. Tell it when to ask, when to flag a limitation, and what it must never invent.
If important information is missing, ask before assuming. Separate facts from assumptions. Do not invent sources, numbers, events, quotes or capabilities. Flag anything I should verify independently.
Step 4 — Give it a workflow
Instead of asking for an instant answer, define a simple operating loop. This makes the assistant more consistent and easier to debug.
For each request: 1) Restate the goal briefly. 2) Ask for critical missing information. 3) Work through the task. 4) Produce the requested output. 5) Finish with a short verification checklist or uncertainties.
Step 5 — Control the output
Specify what the finished work should look like. Structure is one of the easiest ways to make an assistant more useful.
Use this output format unless I request another: • Summary • Recommended action • Key details • Risks or assumptions • Next steps Keep the answer concise enough to act on.
Step 6 — Assemble your assistant
Combine the five pieces above into one instruction and save it wherever your AI tool allows you to reuse instructions. Then give the assistant a real task—not a perfect demo.
The assistant is not the product. The repeatable workflow is the product.
Step 7 — Stress-test it
Try three tests: give it an incomplete request, give it a request containing a questionable assumption, and ask it for something outside its defined job. A robust assistant should ask, flag or refuse to guess rather than confidently improvise.
Missing information
Bad assumption
Out-of-scope request
The Human Edge Check
Before you use the result, decide which parts are safe to delegate and which require your judgment. AI is useful for drafting, organizing, comparing and pattern-finding. You remain responsible for context, consequences, values, verification and the final decision.
Drafting · sorting · summarizing · formatting · generating options · repetitive transformation
Goals · judgment · verification · sensitive decisions · accountability · final approval
Turn this into a research assistant.
BUILD #002 will add source gathering, evidence checks and a structured research brief.
VIEW THE BUILD ROADMAP →