Community

Practitioners of evidence-grade research, not fans of a product.

We convene the people who need AI research they can defend (analysts, clinical researchers, litigators, compliance officers, consultants) around a shared standard. The product is the natural tool of that practice, not the point of the community.

Founding Researchers

A named cohort, capped at 25.

The Founding Researchers program is a named early-adopter cohort: the first practitioners committed enough to help set the standard while the platform is young. Scarcity is intentional: a capped, identifiable cohort becomes the reference sellers for everyone who joins after.

  • Founding Researcher badge and public listing on the Evidentia site
  • Charter pricing lock. Veridok Lite rates frozen for 24 months from acceptance
  • Direct roadmap influence through early-access priority votes and methodology feedback

Cohort terms

Cohort size
Capped at 25
Application basis
Reviewed, not first-come
Pricing lock
24 months, Lite tier
Recognition
Badge + public listing

The incentive catalog

Every incentive is something we can afford at solo-founder scale, and several are self-funding. Contribution earns real value, not points.

01

Run credits for contributions

Bug reports, methodology feedback, and source-quality flags earn run credits on Veridok.

02

Founding Researcher status

Badge, public listing, and a charter pricing lock for the first 25 committed early users.

03

Methodology co-authorship

Domain experts who help refine a research methodology get named, versioned attribution. Career capital, not a footnote.

04

Methodology revenue share

Later phase: experts who author methodologies others pay to run earn a revenue share, with named attribution on the published method.

05

Adversarial bounty

Get a fabricated citation past verification in the public challenge and earn a bounty plus public credit.

06

Design-partner conversion track

Community members whose organization has a real use case get a discounted first engagement.

07

Case-study spotlight

Publish a redacted run and writeup and get editing plus promotion support. Never published without written permission.

08

Referral credits

Run credits on both sides for any user who refers a new practitioner.

09

Academic & student tier

Discounted Deep runs for verified students and graduate researchers, seeding the next generation on our standard.

10

Early-access priority votes

Active community members steer which research area ships next. Roadmap transparency, not a suggestion box.

Launch sequence: run credits, Founding Researchers, and the adversarial challenge first. Methodology co-authorship follows in month two to three. Named-author revenue share follows once the Pro tier is live.

Flagship community event

Break the citation gate.

This is the community engine behind "provably accountable AI." Nobody else can run this challenge without exposing their own capability state.

Quarterly

Our own hostile-prompt run

We publish our own 1,000-hostile-prompt run against the citation gate, with the full methodology and failure count. Honest, including the failures and the fixes.

Standing

The public challenge

A standing bounty for anyone who gets a fabricated citation past verification. Submissions require a reproducible prompt; results are published monthly.

Annual

The adversarial summit

A virtual, low-cost gathering where the researchers who found the best breaks present them to the community.

Bounty budget: up to $2,500 per quarter

Cheaper than any ad campaign. Every failed attempt is marketing evidence; every success hardens the product.

View full rules & first challenge prompt

Open methodology library

The methodology is teachable. The engine is the product.

We publish the research methodologies (the steps, the quality gates, the rubrics) as public, citable documents with attribution. Competitors who hide their capability state can't publish their methods; we can, because the execution is what we sell.

Evidence synthesis

Systematic-review-shaped phases and quality gates

Workflow decomposition

The rubrics behind structural workflow analysis

Solutioning rubrics

How evidence and workflow findings become recommendations

Three methodologies published as a v1 sample

Evidence Search Studio, Evidence Fact Extraction & Validation, and Evidence Report Synthesis are published as a v1 sample, with representative steps and an academic research basis.

Browse the library