The core startup AI stack is small: a general assistant (ChatGPT or Claude) for writing, research and thinking; an AI coding tool for product; an image tool for marketing; and a scheduler to stay consistent. Add Perplexity for sourced research and a meeting-notes tool as you grow. Start with two or three, master them, and resist collecting subscriptions.
The best startup stack is the one your tiny team actually knows how to use, not the longest list.
Founders love a good tool stack, and there is a whole cottage industry selling startups shiny AI apps they do not need. So let us be ruthless about it. Here are the tools that genuinely earn their place in a small, fast-moving company, and the ones you can safely ignore until you are much bigger.
The core stack, by job
| Job | Reach for | Note |
|---|---|---|
| Writing, research, thinking | ChatGPT or Claude | Your workhorse. Claude for writing, ChatGPT for range |
| Product / code | AI coding assistant | Ships features and prototypes far faster |
| Marketing images | ChatGPT image tool, Canva AI | On-brand visuals without a designer |
| Sourced research | Perplexity | Market and competitor facts you can cite |
| Staying consistent | Buffer or similar | Schedule content so it actually goes out |
| Meetings | An AI notetaker | Notes and actions without the admin |
Start with one general assistant
If you take one thing from this, make it this: a general AI assistant is the single most valuable tool in a startup, and getting genuinely good at one beats dabbling in ten. Claude and ChatGPT can draft your marketing, research your market, help write and debug code, prep your fundraising, and think through problems with you. For a lot of founders, that one tool does 70% of everything. Master it first, then add the specialists.
The specialists worth adding
Once your assistant is second nature, a few specialists earn their keep. An AI coding tool if you are building software, because the speed-up on product is enormous. Perplexity when you need research with sources you can trust and cite, useful for market analysis and investor conversations. A scheduler so your founder-led marketing is consistent rather than sporadic. And, as you start having a lot of calls, an AI notetaker so you stop losing decisions and actions to scrappy memory. We help founders assemble the right mix in build your best AI stack.
How to choose tools as a startup
- Start with one general assistant and get properly fluent
- Add only what you feel the lack of - not what's trending
- Use free tiers to test before paying
- Prefer tools that do several jobs over single-trick apps
- Standardise across the team so knowledge and prompts are shared
What to ignore (for now)
There is a flood of narrow AI apps promising to automate one tiny slice of your business. Most are thin wrappers around the same models you already have access to, dressed up with a logo and a monthly fee. Early on, a capable general assistant plus a clear prompt does what many of them do, without another subscription and login to manage. Buy the narrow tool later, when you have proven you need exactly that job done at scale and your assistant genuinely cannot do it.
Get your founding team on the same stack
We help startups pick the few tools that matter and get everyone genuinely good at them, fast.
The real differentiator
Two startups with the identical tool stack will get wildly different results, and the difference is not the tools. It is how well the team uses them, how good their prompting is, whether they share what works, and whether AI is a habit or an afterthought. The stack is the cheap part. The skill is what compounds. That is why we spend more time on how to use the tools than on which logo to pick. Choose two or three, learn them properly, and you will outrun a competitor drowning in a dozen they half understand.
Frequently asked questions
What AI tools does every startup need?
At minimum, one general assistant (ChatGPT or Claude) for writing, research and thinking. Add an AI coding tool if you build software, an image tool for marketing, and a scheduler for consistency. That small stack covers most needs.
Should a startup pay for AI tools or use free versions?
Start on free tiers to test fit, then pay for the one or two tools that become part of daily work. For a startup, the time saved by a paid plan usually dwarfs the cost within days.
What's the best AI tool for a non-technical founder?
A general assistant like ChatGPT or Claude. It handles marketing, research, planning and communication in plain English, and can even help you prototype a product idea without writing code yourself.
Do startups need lots of specialist AI tools?
No. Most narrow AI apps are wrappers around models you already have. A capable general assistant plus good prompting replaces many of them. Add specialists only when you clearly feel the lack.
How do I get my team using the same AI tools well?
Standardise on a small stack, share a prompt library, and run a short training session so everyone reaches a good level together. See build your best AI stack.