Way 1: without AI (the manual way)
Honest cost: 2-3 hours every Friday.
- Pull this week’s numbers from four different tools.
- Fill the update template, write commentary, check against last week.
- Send late, in a slightly different format, again.
Updates slip when assembling them costs more than the insight they carry. The method below sets up a weekly run with an assistant: fixed metric list, values with sources, drafted commentary against last week - you verify the numbers and own the message, and the format stops drifting.
Pros of doing it manually
- Free except your time - no tools, no accounts.
- You learn the job deeply and control every detail.
- No data leaves your hands.
Cons of doing it manually
- 2-3 hours every Friday - every single time the job runs.
- Quality depends on your energy that day.
- More volume just means more hours; it does not scale.
Way 2: with AI, but without AI Agent Skills (DIY prompting)
A chat assistant genuinely helps here. The catch is that you become the workflow designer. What you have to figure out yourself:
- You must paste the metrics and last week’s format every Friday.
- You must pin the structure in the prompt, or the format drifts weekly.
- You must check every number against its source - investors remember wrong ones.
Here is a starter prompt that works - copy it and bring the inputs listed:
Prepare this week's KPI update from these approved metrics: [paste metric, current value, previous value, source]. Same format as last week: [paste]. Flag any metric whose source is stale. Commentary 2 sentences max per metric.More on this prompt: the free investor kpi updates prompt page.
Pros of DIY prompting
- Free, or nearly - any chat assistant works.
- A first draft in minutes instead of hours.
- Fully flexible: tweak the prompt for any edge case.
Cons of DIY prompting
- You become the workflow designer: prompts, test data and output rules are yours to write, test and maintain.
- Output drifts between sessions unless you re-paste the rules every run.
- Nothing is saved for you - sheets, structure and context are rebuilt each time.
Way 3: with AI Agent Skills (free, Free)
The KPI Update Agent is this job already designed: fixed evidence rules, output contract, test fixtures and stop points. You ask once:
Hello, prepare this week’s founder KPI update
And a finished, review-ready artifact lands in your own Drive:
| Metric | Current value | Source | Commentary | Owner |
|---|---|---|---|---|
| MRR | $48,200 | Stripe export Sep 12 | +6% MoM, driven by 3 annual upgrades | Sam |
| Weekly active teams | 312 | Product analytics Sep 12 | Flat vs last week; onboarding drop-off at step 3 | Sam |
| Net burn | $21,400/mo | Bank feed Aug | Runway 14 months at current burn | Sam |
Sample data shown. Your workspace fills with your real work.
Setup takes about 10 minutes: download, hand the Included files to the assistant you already use (Instinct, ChatGPT, Claude, Gemini or any other assistant that reads files), approve the fictional-data test. Then it runs on a standing cycle or a one-line ask, and stops at every human gate. Full method.
Pros of the ready-made agent
- About 10 minutes to a tested setup, not an afternoon of prompt tuning.
- The same output shape every run - evidence rules and stop points are already designed.
- Runs on a standing cycle or a one-line ask; files land in your own Drive.
Cons of the ready-made agent
- Costs free, where DIY prompting is free.
- The output format is opinionated - you adapt the template rather than rebuild it.
- It still stops and waits for your approval at decision points; it is not zero-touch.
The honest comparison
| Way 1: manual | Way 2: DIY AI | Way 3: free agent | |
|---|---|---|---|
| Time to first result | 2-3 hours every Friday | An afternoon of prompt tuning | About 10 minutes, tested setup |
| Every run after | Same hours, every time | Re-paste the rules, sheet and context each run | One short ask, or a standing cycle |
| Consistency | Depends on the day | Drifts between sessions | Same output shape every run |
| Cost | Your hours | Free, plus your time | Free, files kept forever |
The manual way teaches you the job. DIY prompting is fine for a one-off. The agent wins when the job repeats every week.
More: the KPI Update Agent product page · the investor KPI updates guide · AI agents for founders
Questions people ask
What is the fastest way to send a weekly investor KPI update?
The free ready-made agent: about 10 minutes of setup, then one short ask per run. Manual takes 2-3 hours every Friday; DIY prompting takes an afternoon of tuning plus upkeep.
Can I send a weekly investor KPI update without AI?
Yes - the manual steps are on this page. Expect 2-3 hours every Friday each time the job runs.
Is the free agent worth it over DIY prompting?
If the job repeats weekly, yes: you stop rebuilding prompts and re-pasting context every run. For a one-off, DIY prompting is fine and free.
Last updated 13 September 2026 · Reviewed by the AI Agent Skills team.