How Founders Should Set Up Context for Their AI Tools
A founder uses AI for almost everything — strategy, fundraising, hiring, product, the investor update due tonight
A founder uses AI for almost everything — strategy, fundraising, hiring, product, the investor update due tonight. And every one of those tools starts each session knowing nothing about your company, your stage, or what you're actually trying to do. So you re-explain it, every time, and get advice pitched at a generic startup that isn't yours.
Setting up context for your AI tools fixes that. Here's what it means for a founder specifically.
Why do AI tools give founders generic advice?
Because founder questions are the most context-dependent there are, and the AI has the least context to answer them.
"Should I hire a head of sales?" has no good general answer. The right call depends on your revenue, your stage, whether you've found product-market fit, your runway, your own strengths. Strip that away and the AI does what it does with any underspecified question: answers for the average case. You get reasonable-sounding advice for a generic startup, which is often wrong for yours.
This hits founders harder than most roles, because so little of what a founder decides has a one-size answer. The model isn't failing — it's working blind.
Why is this worse for founders than anyone else?
Because a founder's context is the most scattered. You're pulling from investor emails, board decks, customer calls, the product roadmap, financial models, hiring pipelines, Slack, your own notes — and holding it all in your head because no tool holds it for you. The job is partly being the place where all that information comes together.
That's exactly what makes AI frustrating for founders. To get a useful answer you'd have to feed the AI a slice of that scattered context every single time — and you can't, so you don't, so the answers stay shallow. The volume and spread of what a founder has to synthesize is the core problem. Pulling it into one place the AI can draw on isn't a nice-to-have; it's the only way AI keeps up with how a founder actually works.
What context should a founder give their AI?
The things that change what the right answer is:
- Company basics — what you do, your market, your stage, your business model
- Traction and constraints — revenue, runway, team size, what's working and what isn't
- Current priorities — what you're focused on this quarter, the decisions in front of you
- You — your background, your strengths, where you need the most help
With those loaded, "should I hire a head of sales?" gets answered against your actual numbers and stage, not a generic playbook.
How is this different from an AI chief of staff?
This is worth being precise about, because the categories look similar and aren't. A wave of AI chief-of-staff and founder-assistant tools — Carly, Martin, Fellow, Xembly, and others — now handle slices of the founder's load: meeting prep, scheduling, inbox triage, action items. They're useful. But each is a bounded assistant: it does its defined job, inside its own app, with its own store of what it knows.
A context layer isn't an assistant and doesn't compete with them. It does something different: it gives the best tools you already use — Claude, ChatGPT, Cursor, whatever you reach for — accurate context about you and your company, so they all get better at once. An assistant app gives you support inside its lane. A context layer gives you freedom to work in any tool and have it understand your business. One adds a helper; the other raises the ceiling on everything.
So the choice isn't Unabyss or a chief-of-staff tool. It's that they solve different problems — and if your frustration is "every AI tool I use is generic," that's the context problem, not a missing assistant.
How should a founder actually set this up?
Put your company context in one place and serve it to every tool, rather than re-explaining it per tool or per session.
A context layer extracts your context from sources you already have — your deck, your docs, your email, your calendar — keeps it current as the company changes, and delivers it to any AI tool through MCP. You set it up once. Then every tool you open already knows your stage, your traction, your priorities, and you, without a word of setup.
For a founder context-switching between strategy and hiring and fundraising all day across half a dozen tools, that's the difference between AI that gives textbook answers and AI that gives advice for the company you're actually running.
→ What to put in it: What Information Should You Add to Your AI Context?
→ How delivery works: How to Deliver Personal Context to AI Tools
→ Set up your context layer with Unabyss →
