Workflows · facts checked 2026-09-13

7 Town agent workflows for founders

A curated list of 7 Town workflows for founders, each with the inputs it needs, a starting prompt, the expected output and one honest boundary.

Seven founder workflows worth handing to Town, each with inputs, a starting prompt, the output to expect and the boundary. Matching $19 agents are linked where they exist.

1. Investor target queue

When to use it: When the raise starts and the list is a blank sheet.

Inputs: Your fundraising thesis: stage, sector, geography, check size.

Starting prompt:

Find 15 investors matching this thesis: [paste]. For each: name, firm, thesis match in one line, evidence with source, LinkedIn URL. Save as a Google Sheet in a Founder Investor Outreach Workspace folder.

Expected output: An evidence-linked queue where every match shows its reasoning.

Boundary: It builds the queue. Outreach under your name waits for your approval.

Ready-made: the Investor Outreach Agent runs this as a standing workflow with gates, $19 one-time.

2. Weekly KPI update

When to use it: Every Friday, before the weekend eats it.

Inputs: Your approved metrics sheet, last week’s update for format.

Starting prompt:

Prepare this week’s KPI update from these approved metrics: [link sheet]. Same format as last week: metric, current value, previous value, source, commentary. Flag any metric whose source is stale.

Expected output: A consistent update investors can compare week over week.

Boundary: It works from approved metrics; it does not pull numbers from your tools uninvited.

Ready-made: the KPI Update Agent runs this as a standing workflow with gates, $19 one-time.

3. Customer discovery themes

When to use it: After every 5-10 interviews, before the insights evaporate.

Inputs: Anonymized interview notes.

Starting prompt:

Turn these interview notes into evidence themes: [paste]. Per theme: quotes as evidence, contradictions, one follow-up question. Do not invent validation - mark thin evidence as thin.

Expected output: A theme table with quotes, contradictions and the next questions to ask.

Boundary: Quotes stay verbatim; contradictions get surfaced, not smoothed over.

Ready-made: the Customer Discovery Agent runs this as a standing workflow with gates, $19 one-time.

4. Partnership target queue

When to use it: When partnerships are the growth channel and the list is stale.

Inputs: Your partnership thesis: who, why you, what you offer.

Starting prompt:

Find 10 partnership targets matching this thesis: [paste]. Per target: name, fit in one line, evidence with source, best contact route. Save as a Google Sheet in a Founder Partnership Outreach Workspace folder.

Expected output: A researched queue with contact routes, ready for your outreach.

Boundary: It researches and drafts. Sending is your call.

Ready-made: the Partnership Outreach Agent runs this as a standing workflow with gates, $19 one-time.

5. Board meeting prep

When to use it: The week before each board meeting.

Inputs: Your metrics, last board deck, the decisions you need.

Starting prompt:

Draft my board update: metrics summary from [link], progress since last meeting, the 2 decisions I need: [paste]. One slide per topic in outline form, flag missing numbers as [NEED].

Expected output: An outline where missing numbers are visible before the meeting, not during.

Boundary: It drafts the outline; the narrative and asks are yours.

Ready-made: no agent for this one yet.

6. Hiring scorecard builder

When to use it: When you are about to interview for a role you have never hired.

Inputs: The role, what success looks like at 90 days, your non-negotiables.

Starting prompt:

Build a hiring scorecard for this role: [paste details]. 5 criteria max, each with what to look for, one interview question, and red flags. Save as a Google Sheet.

Expected output: A scorecard that keeps every interviewer grading the same things.

Boundary: It drafts the criteria; you own who gets hired.

Ready-made: no agent for this one yet.

7. Runway scenario check

When to use it: Monthly, or before any big spend decision.

Inputs: Current cash, monthly burn, committed spend, revenue rows.

Starting prompt:

Build a runway scenario table from these numbers: [paste]. Show months of runway under current burn, +20% burn, and with this new spend: [paste]. One assumption per line, every number traced.

Expected output: Three runway scenarios with visible assumptions.

Boundary: It computes from your rows; financial decisions stay with you.

Ready-made: no agent for this one yet.

Quick comparison

WorkflowEffortCadenceRiskReady-made agent
1. Investor target queueOne paste per runPer eventDraft-first, review before useInvestor Outreach Agent
2. Weekly KPI updateOne paste per runWeeklyDraft-first, review before useKPI Update Agent
3. Customer discovery themesOne paste per runPer eventDraft-first, review before useCustomer Discovery Agent
4. Partnership target queueOne paste per runPer eventDraft-first, review before usePartnership Outreach Agent
5. Board meeting prepOne paste per runWeeklyDraft-first, review before usenone yet
6. Hiring scorecard builderOne paste per runPer eventDraft-first, review before usenone yet
7. Runway scenario checkOne paste per runMonthlyDraft-first, review before usenone yet

Free download

Get the Investor tracker template (CSV) - the companion file for these workflows, with sample rows filled in.

Platform notes

Town is a third-party product (https://www.town.com). We are not affiliated with or endorsed by them. Capabilities and names verified 2026-09-13; re-check before relying on specifics. The prompts above are platform-agnostic - they work in any capable assistant.

Want the job done instead of prompted? Browse the founders agent menu or the AI agents for founders guide.

Questions people ask

Are these Town workflows free?

Yes - every item includes a starting prompt you can copy free. Matching $19 standing agents are linked where they exist.

Are you affiliated with Town?

No. AI Agent Skills is an independent store; Town is named only because these workflows run on it. Facts checked 13 September 2026.

Last updated 13 September 2026 · Reviewed by the AI Agent Skills team.