Evidence methodology

Evidence is not a person. Interest is not an outcome.

AI I’d Pay keeps five signals separate: where a need came from, who owns the expression, what evidence supports it, whether another person adds their own context, and what happened after a response.

Method version: July 26, 2026

Every need starts with one of two origins

OriginWhat it meansWhat it does not prove

First-person needA visitor wrote a task, frustration, or desired result as their own.That they will pay, adopt, or repeat.

Public-evidence synthesisA reviewed summary is grounded in one strong public source or multiple independent sources.That a requester exists on AI I’d Pay.

“Human content” means a real user expressing their own need. It does not mean an editor inventing a request on someone’s behalf. The original first-person wording remains preserved even when the product suggests a clearer structure.

Public evidence never counts as a person

A source can show that a workflow, workaround, or failure mode was discussed publicly. It cannot show that the source author is a member, wants an introduction, controls a budget, or currently intends to buy. Source links and direct human context are therefore displayed and counted separately.

A synthesis should state what is known, what remains unknown, when the source was observed, and how independent sources relate to one another. A linked source is retained as provenance, not copied into a new first-person claim.

A confirmation requires someone’s own context

“I need this” is not treated as a lightweight vote. The person must add at least one meaningful detail about their role, frequency, current workaround, or impact. Exact same-need relationships may be grouped; related root problems are not counted as the same need.

The service uses a random browser-held credential to reduce duplicate confirmations and prevent a publisher from validating their own response. This is browser-level integrity, not identity verification: clearing storage or changing browsers can create a new credential. Counts should be read as contextual confirmations, not audited unique identities.

AI structures evidence; it does not create a requester

AI may summarize permitted public information, identify repeated workflows, and suggest clearer fields.
Each material claim must remain traceable to a visible source or direct user context.
AI-generated clarity does not increase the number of people, the budget, or the commercial status.
Public-evidence syntheses require human review before publication; automatic publication is not used.
Unknown information stays unknown instead of being filled with plausible detail.

Publication is a quality decision, not validation

Review checks relevance, source access, independence, privacy, sensitive content, duplication, workflow clarity, AI addressability, and whether the page adds something beyond its source. Publication means the evidence is suitable for public examination. It does not mean the need has been commercially validated.

Commercial strength increases only through additional signals such as a demonstrated workaround, repeated frequency, authority to trial, a useful solution, an accepted next step, a pilot, adoption, or a documented rejection.

Not every public page belongs in search

Search-eligible pages must add enough original value to stand alone: reviewed public evidence, meaningful first-person context, or human progress through confirmation, a solution, or a build offer. Thin, duplicate, high-risk, and context-free pages can remain accessible while being excluded from the sitemap and marked noindex.

Pages are written for people first. Stable summaries, visible provenance, clear unknowns, timestamps, internal links, and structured data also make the same evidence easier for search engines and answer systems to understand and cite.

Sources and users can challenge the record

A source author or affected person can request a correction, source removal, or takedown. A first-person publisher can remove their own need when the original browser retains its ownership credential. For anything else, email tewi9140@gmail.com with the page URL and the requested change.

What the current system cannot prove

A browser credential does not prove a legal identity or employment role.
A public source does not prove current intent, budget, or permission to be contacted.
An optional amount is a value signal, not a payment commitment.
A useful response is the publisher’s judgment, not independent product certification.
A rejected solution can be valuable evidence; an accepted next step is not the same as adoption.

AI I’d Pay is designed to expose these gaps and move them forward, rather than collapse them into one inflated “demand score.”