The best AI tools in the world will build you almost anything. That sentence sounds like the good news. If you're a coach, a consultant, a broker, or a creator with a business to run, it's actually the bad news — and understanding why is the whole reason Squidgy exists.
“You can build anything” is a cost, not a gift
Open Claude or Lovable and you're standing in front of an infinite canvas. Genuinely infinite: a dashboard, a SaaS app, a marketing site, an agent, a game — whatever you can describe, something real comes back. It's an extraordinary achievement, and we mean that without irony. We run on frontier models ourselves.
But watch what happens when a non-technical expert sits down at that canvas with a business goal. The blank page asks them to make a hundred decisions they didn't know existed. Which memory setup? Which tools should the agent call, and what happens when a call fails? Where do the guardrails go? When does a human need to approve a message before a customer sees it? Every one of those questions has a wrong answer, and the canvas doesn't tell you which answers you got wrong. It just keeps generating.
So the honest timeline for “I built my own agent on a general-purpose tool” isn't an afternoon. It's weeks — usually months — of evenings. And here's the part that stings: even the people who finish can't tell whether their hand-rolled agent setup is any good, because they've never seen a good one. They have neither the time nor the inclination for that project. They have a business.
I don't want to build an AI system. I want the thing my workflow needs, and I want it selling.
— every expert we've ever onboarded, roughly
The category just got validated — and the gap didn't close
In February, a team of ex-Stripe, ex-Google, and ex-Meta engineers launched Dreamer — a beautiful consumer platform for building AI agents without code. Five weeks later, Meta hired the entire team. Five weeks. That's how badly the giants want this category.
Look closely at what Dreamer shipped, though, and at what every big platform ships: the building half. Describe an agent, get an agent. What none of them shipped is the half that turns an agent into income — the storefront, the billing, the payouts, and above all the selling. On the biggest platforms today, you can build brilliant things and there is still no native way to get paid for them. Third-party marketplaces keep springing up to bolt payments onto tools that don't offer them, which tells you everything about how much builders want this and how little the incumbents prioritise it.
So we did the opposite of an infinite canvas
Squidgy is built on a constraint: everything on the platform orbits an agent. Not “build anything.” Build this — an agent that runs a workflow, collaborates with people and with other agents, and earns.
That constraint is what lets us cookie-cutter the hard part. We've standardised what we believe is the best way to build an agent — the memory, the tool calling, the guardrails, the human-approval flows, the way agents hand work to each other — and baked it into every agent the platform produces. About 95% of the build is done before you arrive. Your job is the one thing nobody can standardise: describe your workflow.
“Only agents” doesn't mean only agents
Here's the nuance that makes the constraint powerful rather than limiting. The platform will absolutely build things that aren't agents — when an agent needs them.
- One of our agents agrees a video script with you, then opens a teleprompter web app it built so you can film against scrolling text — and when you're done, the footage goes straight back to the agent to edit, post, and schedule. The app isn't the product. It's a limb of the agent's workflow.
- When you publish an agent, the platform generates landing pages, lead magnets, and nurture content — not as a website project, but as fuel for the chain of agents (nurture, qualify, close) whose only job is signing customers up to yours.
That's the real difference from the canvas tools. There, the app you build is the deliverable, and everything after it — hosting, billing, distribution, marketing — is your problem. Here, anything that gets built exists in service of an agent that's already wired for all of that. Built for humans on one side, and for the growing world of agent-to-agent traffic on the other.
Where this goes
We think the next wave of valuable AI businesses won't be started by developers. They'll be started by people who know a niche cold and can describe, in plain English, a workflow worth automating. The tools those people were offered so far asked them to become engineers first. We'd rather they stayed experts — and got paid like owners.
We're proving it the direct way: taking our first twenty-five founding builders from described workflow to first revenue, hands-on. If you can answer one question — what's the workflow? — the rest is already built.