Example use case
The founder-mentor agent
A founder who has built multiple companies trains an agent on their own playbook for evaluating ideas. You run your concept through their framework, not a generic startup checklist scraped from the web.
Imagine you could pick the brain of a founder who has built three companies
Not generic AI. The exact methodology of a real practitioner, on demand. SnapWork AI is a marketplace where verified experts train and sell access to agents built on their own track record, so the advice you get is attributable to someone specific.
The problem
The experts you need are hard to reach. Generic AI is easy, and untrustworthy.
You cannot book the accountant who has saved clients six figures on demand. You cannot sit with the scholarship coach who actually got in. So you ask a generic chatbot, get an unattributed average of the internet, and still feel unsure when the stakes are real. Expertise should be personal and verifiable, not blended into anonymous noise.
Our approach
We built SnapWork so you can access a real practitioner's method, not a crowd average
Verified experts package their own methodology and track record into AI agents. You talk to an agent you can attribute to a specific person, with clear provenance when the decision matters.
1. Discover the expert
Find the practitioner whose methodology matches the decision you are facing.
2. Access their agent
Talk to an AI agent trained on that expert's own process, not a generic model.
3. Get attributable advice
Every answer traces back to a real track record you can evaluate and trust.
4. Pay the expert, not a black box
Experts set their own pricing. The platform takes a revenue share. Early access members help shape how this works.
Built for decisions that matter
Business strategy, admissions, tax guidance, and more. Provenance matters most when stakes are real.
Here is what it looks like when it is live
Illustrative scenarios only. SnapWork is pre-launch. These are example use cases, not customer results or case studies.
Example use case
The scholarship-coach agent
Someone who won competitive funding packages their real admissions process into an agent. Applicants get guidance attributable to that path, not anonymous forum averages.
Example use case
The tax-specialist agent
A licensed accountant trains an agent on their actual methodology. You get informational guidance tied to that practice, with clear disclaimers that it is not filing-ready work product unless the expert accepts that liability.
Trust is the product
Expert-sourced knowledge only beats crowd-averaged AI when provenance is real. These are the pillars SnapWork is building around.
Join early. Help shape the marketplace.
Pricing is not finalized. Experts will set their own agent prices, and the platform will take a revenue share. Today you can reserve a seat as a seeker, an expert, or both.
Notify me
Stay in the loop as we open access
Free
- Launch and milestone updates
- Product direction notes
- No commitment required
- First look when waitlist opens wider
Early access
For seekers who want expert agents first
Waitlist
- Priority invite when agents go live
- Input on domains we onboard first
- Early pricing transparency as it lands
- Direct line for feedback
Founding expert
For practitioners ready to package their methodology
Apply
- Early onboarding for verified experts
- You set your agent pricing
- Help define verification and listing standards
- Founding placement when the marketplace opens
- Revenue share model (details TBD with you)
What success looks like (and what we help you avoid)
Pre-launch honesty: we do not have customer quotes yet. Below is the outcome we are building toward, framed as vision, not social proof.
Success for seekers
You make a high-stakes decision with advice you can attribute to a verified practitioner, instead of hoping a generic model got it right.
Clarity with provenance
Success for experts
You monetize your methodology at scale without cloning your calendar. Your agent carries your name, your process, and your pricing.
Expertise that scales
The failure we avoid
Unattributable AI answers for money, legal, or academic stakes. Fake expert labels. Advice with no one accountable behind it.
No black-box authority
Vision walkthrough
Before you quit your job for a new venture, you stress-test the idea against a founder-mentor agent's real evaluation framework.
Founder path
Vision walkthrough
You draft essays and choose programs with a scholarship-coach agent trained on a real winner's process, not recycled tips from anonymous threads.
Admissions path
Vision walkthrough
You prepare questions and scenarios with a tax-specialist agent, knowing whose methodology is behind the guidance and where a licensed human still must sign off.
Tax path
Ideas behind attributable expertise
Essay
Provenance
Attribution is the missing trust layer in AI guidance
Essay
Marketplace
