Private AI knowledge assistants
Build a narrow document-search assistant that cites its sources and says when it cannot answer. Start with public or synthetic documents, then validate permissions and accuracy before handling a customer knowledge base.
Who you’re building for.
Small teams with approved internal documentation who need a faster way to find source-backed answers.
Make the numbers your own.
Explore a monthly scenario before committing any money.
Illustrative USD assumptions. Before owner pay and taxes. Recovery assumes this monthly profit from day one. Scenario changes stay on this page and do not alter the published edition.
A business to fund the business.
Start with a small paid service pilot using skills and equipment already available. At an assumed $200 fee and $20 in direct expenses, each job contributes $180. 2 paid jobs contribute $360 toward the $350 startup target. Validate demand and delivery capacity before relying on this scenario.
Your first moves.
01 · Talk to five potential customers
Find people matching this profile: Small teams with approved internal documentation who need a faster way to find source-backed answers. Ask what they use today, what they pay, and what would make them try a pilot.
02 · Define a small paid pilot
Write the deliverable, price, exclusions, timeline, and approval process. Quote actual costs and check the relevant local requirements.
03 · Reach your first prospects
Interview ten small-team leads about repeated internal questions. Demonstrate source-linked answers using public documents and propose a paid discovery workshop before any integration.
04 · Deliver and measure the pilot
Track your actual time, direct expenses, customer feedback, and net cash. Ask permission before sharing results or testimonials.
05 · Earn the next booking
Ask a satisfied customer for a relevant introduction. Refine the offer and repeat only when you can deliver consistently.