iziRisk AI — Contributor Program

How Contributor Credits Work

Every contribution you make to the knowledge base behaves like a project outcome under uncertainty: it accrues value over time, weighted by confidence and recency — and it compounds into real subscription and licensing credit.

01 — Earning

Two ways your work earns credit

A one-time credit for clearing review, and an ongoing stream tied to whether the assistant actually uses your material to answer a question. Quality is rewarded twice — once for acceptance, again for proven usefulness.

Phase 1 — Onboarding

Credit on acceptance

A flat, one-time credit awarded when your submission clears review and enters the knowledge base — independent of whether it's cited yet.

Short-form (article, transcript, structured note)10
Medium (recorded lesson, 10–30 min)30
Long-form (course module, in-depth paper)75
Phase 2 — Usage

Credit per cited use

Every time the assistant draws on your material to answer a question, you earn a fraction of a credit — scaled by how strong the match was and how new the content is.

Usage = Base × Confidence × Novelty

Strong match, first 90 days: 1 × 1.0 × 1.5 = 1.5 credits. Weak match, after 6 months: 1 × 0.1 × 1.0 = 0.1 credits.

Why the curve, not a flat rate

Credit accumulation is shaped like a project S-curve: slow while content is new and un-indexed, steep once it starts getting cited, and flattening as the topic gets covered elsewhere or ages past its 90-day novelty window. Contributors who fill genuine gaps in live demand see the steepest climb.

02 — Safeguards

Nothing earns credit until it clears the gate

Credit accrual only begins after content passes review — this is what keeps the incentive pointed at quality rather than volume.

01

Accuracy & relevance

Reviewed by the platform team — Fernando initially, expanding to a small panel as submission volume grows.

02

Non-duplication

Material overlapping existing knowledge-base content is merged or rejected, never double-credited.

03

Attribution

Accepted content is attributable by name, so the assistant can cite you the same way it cites Fernando's source videos.

200 / mo

Monthly cap on usage credits per contributor — keeps early content from permanently dominating the pool as more experts join.

03 — Redemption

Where credits convert to value

Two channels: a discount ladder for your own subscription, and a licensing offset if you want to build on iziRisk's knowledge base yourself.

50 cr
10%
150 cr
25%
300 cr
50%
500+ cr
Full

Reaching a tier locks in that discount at renewal — your balance isn't spent down below it while usage credit keeps accruing.

Platform licensing

For contributors licensing iziRisk's broader knowledge base or platform for their own practice or tools.

1 credit = $1

off licensing fees, capped at 40% of total cost

Kept separate from subscription tiers since licensing is a B2B arrangement with its own pricing. (TBD)

04 — Before launch

Open questions worth deciding early

  • Credit expiry: proposed 24 months unused, pending finance input on liability exposure.
  • Contributor credentialing: a verification step before submission, separate from content review — protects the trust the whole product is built on.
  • Co-authored content: default to an equal credit split unless specified otherwise at submission.
  • Reviewer capacity: define the panel-expansion trigger (e.g. 20+ pending submissions) before it becomes a bottleneck.

Numbers above are a starting proposal for internal review — pending finance, legal, and platform sign-off before anything here goes live to contributors.

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