The story of building an AI-first company — with AI agents.
You can build a remarkably powerful AI agent in a weekend. We know, because we did. And then we spent months making it actually reliable.
That's the gap this company exists to close.
The problem nobody talks about
AI models are extraordinary. Claude can reason through complex problems. GPT can generate code that works on the first try. The underlying technology is, genuinely, the most capable software most people will ever interact with.
But here's what the demos don't show you: the agent that crashes at 2 AM because an API changed. The credentials stored in a plaintext file. The "autonomous" system that needs babysitting every four hours. The memory that forgets everything after a restart.
The hard part of AI agents isn't the AI. It's everything around it.
Connecting to live data. Recovering gracefully when something breaks. Managing credentials securely. Knowing when to act and when to ask. Building something you'd trust to run while you sleep.
We'd spent years building autonomous systems — software that made real decisions with real consequences, running continuously without supervision. When we looked at consumer AI, we recognised the same gap we'd seen before: brilliant technology, unreliable infrastructure.
What we decided to build
Three principles guided every decision:
Local first. Your data stays on your hardware. Not because we promise — because the architecture requires it. Your conversations, files, and agent memory are stored on your machine. We never see them. If you cancel, your data stays with you. See exactly how this works →
Managed, not DIY. You shouldn't need to configure an AI agent. We learn how you work — your tools, your priorities, your communication style — and configure an agent team that fits. Then we maintain it. You use it.
Rigorously tested. Every skill your agent uses was generated, then attacked by an adversarial security reviewer, then rebuilt, then tested again. 3,500+ tests across the skill library. Zero known vulnerabilities at launch. We didn't ship until the forge pipeline said it was clean.
What surprised us
The onboarding problem is harder than the technology problem. We could get an agent running in minutes. Getting it running for a specific person — understanding their priorities, their tools, their communication style — that took a 45-minute call and a week of observation. There's no shortcut. Every customer is different.
People don't trust AI that works invisibly. When your agent handles something correctly without being asked, the natural reaction isn't relief — it's suspicion. Did it really do that right? What else did it do? We built approval gates and transparent logging because trust isn't about capability. It's about visibility.
Multi-agent coordination is real. The difference between one agent and three agents isn't 3×. It's a step change. When agents can delegate to each other — one researches, another writes, a third reviews — the output quality jumps in ways we didn't expect. This is why the Business tier exists.
What we got wrong
Our first privacy messaging was wrong. We initially said "your data never leaves your machine." That's not accurate — your agent sends prompts to cloud AI APIs for reasoning. The conversations are processed and discarded under no-training terms, but they do leave your machine briefly. We corrected this to be precise about what's local and what uses the cloud. Our transparency page explains exactly what goes where.
We underestimated how much copy a product needs. A website, help centre, onboarding emails, error messages, legal pages, pricing in four currencies, three languages — the volume of words a product needs before a single customer sees it is staggering. Our agent team wrote a significant portion of this content. Not because we're lazy, but because we believe in using the tools we sell.
We priced too low initially. Our first pricing model subsidised quality with volume — free tier, low entry price, hope for upgrades. We scrapped it. A free AI agent is a broken promise. Strip persistent memory, background processing, and connected services, and you get a chatbot, not an agent. We'd rather serve 100 customers well than chase 10,000 signups.
Where we are now
Stomme AI is live. The Personal tier is open. Professional and Business are on the waitlist.
We're a small team in Stockholm, and we built this because we couldn't find it anywhere else. The models are brilliant — they deserve infrastructure that matches.
If you spend hours on email, calendar admin, research, and repetitive tasks, and you want an AI that actually works instead of another tab to forget about — this is what we built.
Founding offer: 50% off your first month. Valid until 31 July 2026.
Published by Jonathan Lindsay, Founder — Stomme AI March 2026