Library › Productivity AI › Freelancers and creators
Turn discovery call notes into a recap a client understands
Practice: Saying who it's for. About 5 minutes.
About this exercise
You just had a discovery call with Marisol, who owns a dog grooming shop and told you she doesn't understand tech terms. Send her a recap email: under 100 words, plain text, with the budget you agreed at the end of the call and exactly 3 numbered next steps that each say who does what by when. Use plain words, no tech jargon like SEO, CMS, DNS, or responsive. Write a prompt that gets you exactly that.
Common mistakes when you ask AI for this
- Not saying who it's for. The AI copies your tech list into the email, and Marisol gets "we'll point DNS and set up a CMS." Try: Add: "She isn't technical. Use plain words, no terms like SEO, CMS, or DNS."
- Using the first budget. The notes mention $4k first. The AI may use it, or both numbers. Try: Add: "Use the budget we agreed at the end: $3,500."
- Vague next steps. AI writes "we'll stay in touch on next steps" instead of who does what by when. Try: Be exact: "Exactly 3 numbered next steps, each with who and the date."
- Trusting the AI to count words. AI is bad at counting. Ask for "under 100 words" and it often lands well over. Try: Cap each part instead, like "each line under 15 words," so the total lands near 80.
- Formatting like a report. AI adds bold headings like **Next Steps**, which look strange in a short email. Try: Add: "Plain text, no bold or headings."
What a strong prompt includes
- Says who it's for
- Uses the agreed budget
- Asks for 3 dated steps
- Sets a size limit
- Asks for plain text
Related exercises
- Announce a new weekend rotation in three clear rules (Productivity AI · Managers and team leads)
- Answer a patient's billing question in plain words (Writing AI · Nurses and healthcare workers)
- Answer your CMO's campaign question in one Slack message (Marketing AI · Marketing and content)
- Approve or deny shift swaps using the warehouse rules (Productivity AI · Managers and team leads)
- Approve or return expense claims against the policy (Productivity AI · Finance and accounting)