The Ola deck

What Ola does, what it costs, where it stands and who is building it, in twelve slides.

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  1. Title slide. Ola, your personal AI agent that does everything for you. Beside the words, Ola's glass ring with its two eyes, and a phone on Ola's home screen: good morning, Alex, your €214 flight refund is back and marked done, and a weekend plan is being built.
    Slide 01
  2. The gap: the agent my mum can use. Developers can run agents that build software and do work for them, and everyone else still has to figure out the setup. On the left, the AI agents of today: a terminal of install commands, API keys and console steps. On the right, Ola: download it, then give it a task, such as book my car in for a service next week. Voice or text, and Ola runs in the cloud, even with your phone in your pocket.
    Slide 02
  3. Work that leaves the chat: Ola gets things done. Browse the web, buy things, book a trip, write the document, and it remembers you and follows up without being asked. Ola's ring sits at the centre of the jobs it is running: building your app, a web search, a document, a call with the garage, flights, a hotel, and a remembered note that says no appointments before 9, school run until 8:40.
    Slide 03
  4. Personal apps: the apps you need, made for you. Ola builds a working app, then uses it when you ask, like a workout tracker around your routine or a study app from your notes. Two requests, build me an app to track what I spend, then add yesterday's groceries, beside the spending app Ola built: €1,284.60 this month, €216 less than last month, with groceries of €64.10 added by Ola yesterday.
    Slide 04
  5. Market: consumers already pay for AI. In 2025 people spent more inside apps than inside games for the first time. $5bn was spent inside generative AI apps in 2025, nearly three times 2024. $167bn was spent in apps in 2025, up 10%. 55% of US AI users pay for at least one AI product, typically $20 to $49 a month. Our bet: people will pay one agent to do the work and build the personal software they need. Sources: Sensor Tower and Menlo Ventures, 2026.
    Slide 05
  6. Pricing: $20 a month is the going rate. A table of seven AI products' published monthly prices on 17 September 2026 shows entry plans at about $20 and heavy use at $100 to $200. Ola's proposal sits on the same ladder: €20 a month for your agent, the apps it builds and the tasks it runs; €100 a month for higher allowances and the strongest models on every step; and a free plan with a few tasks, so people see Ola finish one before they pay.
    Slide 06
  7. Unit economics, beta average: what a user costs. One subscriber in Germany, per month, before marketing and salaries. Two bars split the price into VAT at 19%, the App Store at 15%, inference at €4.35 and the server at €0.65, leaving €9.28 per user at €20 a month and €66.43 at €100. That is a 55% gross margin at €20 and 79% at €100. Each step goes to the cheapest model that can do it: small models read pages, fill in fields and set reminders, and a frontier model plans and decides.
    Slide 07
  8. Go to market, fitness and nutrition first: the app you pay for, built while you watch. Someone already paying for a calorie tracker asks Ola for one, watches Ola build it in a video, then uses it. $4.5bn was spent in health and fitness apps in 2025. The plan: creator videos show the request, the build and the tracker in use; a link takes viewers to Ola to build their own; then measure first task, weekly return and paid conversion, and move on to parents and students. Beside it, the first creator campaign: a tracker made for my routine, with a scanned meal at 620 calories and a button to try it with Ola.
    Slide 08
  9. Competition: where Ola competes. Chat assistants, app builders and personal agents all compete for these tasks. Chat assistants answer questions, research and, in agent modes, run tasks. App builders turn a prompt into working software with a backend and a database. Personal agents run tasks in the cloud or work through messaging with your connected apps. Ola brings them together: it builds the software you need and does the work inside it, alongside browsing, calls and the errands that need a phone.
    Slide 09
  10. Where we are: starting with the beta. Closed beta, public launch targeted for October. Now, a closed beta on TestFlight. On 28 August, demoed live at a Frankfurt hackathon and placed third. October, targeted, the public launch. Funding, nothing raised yet. The next proof is people coming back and paying for it. A phone shows Ola's reply: the plumber is booked for Thursday morning, €95 call-out, quoted before booking, and Ola is setting up a reminder for the evening before.
    Slide 10
  11. Founder: Jayden Bruck, with his portrait. 17, near Frankfurt, building Ola solo with AI coding agents. Co-founder of Wealth AI, automated crypto investing. Youngest quant intern at Deka Investment, and also interned at DekaBank. Writing software with AI since 14: the iOS app, the cloud agent and the tools, built with hundreds of coding agents on 3 to 6 billion tokens a day.
    Slide 11
  12. Closing slide, on black: one personal agent for everyday life. Personal agents will run the internet. In the future most of what happens on the internet, in apps and in payments will be done by personal AI agents acting for their users. Everyone will have one, and Ola is built to be the one anyone can use. Contact: jayden@tryola.ai, tryola.ai, jaydenbruck.com. Ola's glass ring glows beside the words.
    Slide 12