You can start before you have a business
We are building for people who want to create opportunity with AI, especially students in late high school and early university. Older builders and people changing careers are welcome too. You can begin with a customer problem and a willingness to learn.
Learning and testing are separate from selling. Eligibility, consent and any requirements for contracts and payments must be agreed before a commercial pilot starts.
1. Find a problem people care about
Choose someone you can talk to and one recurring problem they face. Ask how they handle it today, what goes wrong and what a useful result would look like. Start with their problem rather than a large team of agents.
Write one sentence: I help this customer achieve this outcome. Keep the first offer narrow enough to test.
2. Make one useful sample
Use a small sample and material you have permission to use. Define the agent’s job, what it may read and what decisions need a person. Show the result to a potential customer, check what helped and correct what did not.
In thinqOS, an agent has a role and a Mind that can carry relevant knowledge, preferences and lessons between conversations. Test whether that context helps your particular service.
3. Test delivery before asking people to pay
Check answer quality, customer access, human review and actual usage cost. Work through a new customer’s first visit. Decide what the service does when it lacks information or reaches its budget.
Selling also needs agreed eligibility, customer terms, payment and refund handling, and a usable earnings and payout route. These must be verified for the selected service before launch.
4. Earn the next step
Ask a real potential customer whether they would pay for the tested outcome. Record the answer and objections. An encouraging demo is different from collected revenue.
After an agreed paid pilot, measure useful results, repeat use, money collected, AI costs and support time. Improve the narrow service before expanding it. Revenue and results depend on the offer and the work; neither is guaranteed.
Example: tutoring for one university course
Hypothetical service: help students practise one course using lecture notes and recordings they are permitted to share. The tutor explains a concept, points to the course source, asks a practice question and helps the student work through a mistake.
Begin with one topic and a small before-and-after exercise. Check source accuracy, material permissions and separation between students. Measure useful repeat sessions and willingness to pay. This is an idea to test, not an available course-tutor package or a promise of better grades.
Example: customer self-service for a real-estate agent
Hypothetical service: help a real-estate agent’s customers answer a narrow set of questions from approved property and process information. Give a useful answer with its source, and pass uncertain or consequential questions back to the agent.
Start with one agent and one recurring customer interaction. Check the customer’s first visit, factual accuracy and when a person takes over. Measure resolved questions, review effort and the agent’s willingness to pay. This augments the agent’s service; it is not a live property-advice offer.
Founding Builders: support we are shaping
We are preparing a small supported pilot: platform access, a bounded AI allowance, guidance on the business and help triaging confirmed platform blockers. We would agree one customer problem, a next milestone and a clear support allowance with each participating venture.
The proposed exchange is 30% of defined revenue from the supported business or service. The revenue definition, duration, costs, AI cap, eligibility and exit terms are still to be agreed. No program enrollment, funded allowance or commercial agreement is available through this page. Existing agreed participant terms would be honored.
What would it cost?
Current platform plans remain in force. A founder entry package and any sponsored AI allowance are proposals, not activated prices. Before joining a pilot, you would receive the exact price or sponsorship, currency, AI limit, support allowance and what happens when the limit is reached.
For a paid service, calculate customer receipts minus refunds, payment fees, agreed platform or program charges, AI usage and support costs. The proposed founding-support share must be reconciled with existing creator charges so the same receipt is not charged two 30% shares by default.
Request access, then discuss the fit
thinqOS is in private preview. The existing access-request form asks for your name, email, intended audience and optional organization. The access team reviews requests and emails if a place opens. Requesting access does not enroll you in Founding Builders or accept its proposed terms.
Prepare a short brief for a later conversation: who your customer is, their problem, the outcome you want to offer, one sample you can test and the help you need. A supported pilot starts only after its scope, eligibility, terms and limits are agreed.