Why start from notes, not a blank prompt?

Ask an AI for “a pitch deck” cold and you get generic filler. Give it your actual customer interview quotes, current pricing, and first-week numbers, and the output becomes specific. Cofounder AI follows the texture you give it.

How do you build the pitch narrative?

1. Paste your raw notes: who you talked to, what they said, what you tried.
2. Ask for a problem-solution-metric outline, not full slides.
3. Rewrite the problem statement yourself until it sounds like your customer.
4. Ask for three headline options for the title slide and pick one.
5. Request a one-paragraph summary a busy investor could read in 20 seconds.

Step three is where most founders skip and lose. The tool will echo market jargon; your customer’s own words land harder.

How do you turn it into a GTM plan?

Ask for channels ranked by effort and cost, with one experiment per channel. A useful output looks like this:

Then run them in order, one at a time. Running four channels at once with no data tells you nothing.

What should you never automate with it?

Customer conversations. Cofounder AI can draft an outreach email, but the responses reveal your market. Also keep it away from investor financial models — it will produce plausible unit economics that do not survive contact with your real costs.

How do you avoid the generic-AI-deck trap?

Delete every sentence that could apply to any startup. “We use AI to delight customers” goes. “We cut invoice reconciliation from 30 minutes to 3 for a 5-person accounting team” stays. The tool does not know which is which — you do. Use it for speed, then edit ruthlessly for specificity.

Quick Summary

• Feed Cofounder AI real notes, not a blank prompt.
• Build the pitch problem-first, then headline, then summary.
• Ask for channels ranked by cost with one experiment each.
• Run experiments one at a time to get readable data.
• Cut every sentence that could fit any startup.

What is Cofounder AI?

Cofounder AI positions itself as a substitute for the tasks a technical co-founder or early operator would handle: validation, planning, writing. It is not a coding agent. It is closer to a structured strategy tool with an AI engine underneath.

Typical use is a solo founder or a two-person team that needs first drafts fast and does not have a strategist on staff.

Is Cofounder AI free?

It offers a free entry point with limited generations and paid tiers for ongoing use. The free tier is enough to test a single idea. Budget for a paid plan if you use it weekly.

How do you get started?

1. Create an account and describe your idea in a few sentences.
2. Set the target market and business model (B2B, B2C, subscription).
3. Ask it to generate a competitor landscape first.
4. Then request a lean plan or a landing-page copy draft.

Order matters. Starting with competitors gives the later outputs context, so the pitch and the copy line up with the market.

What is Cofounder AI actually good at?

First drafts. A competitor table, a one-page plan, a cold email sequence, a landing page — Cofounder AI gets you to 70% in minutes. That 70% is genuinely useful because staring at a blank page is the real blocker for most founders.

Weak spots: it cannot validate demand for you, it will confidently invent market numbers, and it does not know your customers. Any statistic it gives you needs checking against a primary source before it goes in a deck.

Who should use it — and who should not?

Use it if you are pre-seed and need to move fast on planning and writing. Skip it if you already have a strategy team, or if your product is deep-tech where generic market framing misses the point. It is a drafting tool, not an oracle.

Quick Summary

• Cofounder AI produces structured business drafts, not code.
• Free tier for testing; paid plans for regular use.
• Start with competitor research to set context.
• Great for first drafts, unreliable on hard market numbers.
• Best for solo founders and tiny teams.