Completions

Skill catalog

Claims substantiation + pre-approved claims library for AI content

Per-operator approved-claims library with substantiation evidence — every AI content output checks each substantive claim before it ships.

The problem

Your VP-Marketing says "clinically proven." Your founder says "most effective." Your supplements page references a 2019 study legal has not vetted. Your finance copy says "best-in-class returns." Each of these is a claim. Legal needs to substantiate every one — clinical study, comparative testing, performance backtest, FDD Item 19 methodology — or it has to come down.

The FTC, FDA, and state AGs enforce against unsubstantiated claims. Class-action plaintiff lawyers file lawsuits over them. Your AI content agents generate copy with claims nobody on legal ever approved. Even your human writers do this — they grab phrasing from last quarter's campaign without knowing whether the underlying substantiation is still valid.

Westlaw and LexisNexis at $5,000-$15,000 per seat give legal counsel case-law research access. Outside advertising-compliance counsel (Kelley Drye, Manatt) bills $400-$800/hr; multi-location operators retain at $50,000-$200,000+/yr. Substantiation-research firms (IMS Legal Strategies, expert-witness consultancies) charge $5,000-$20,000+ per substantiation memo. In-house VP-Compliance at $90,000-$200,000/yr bottlenecks once content scales past 50 pieces per week. Single-channel compliance tools (PerformLine, Hearsay, Smarsh, ProofPoint) enforce on one channel. General compliance suites (Compliance.ai, LogicGate, NAVEX) handle policy-level documentation, not per-claim substantiation with evidence linkage.

None of them maintain an operator-specific approved-claims library that AI content agents check programmatically at output time.

What success looks like

Every substantive claim your AI content agents produce gets checked against a per-operator approved-claims library at output time. Each approved claim is linked to substantiation evidence — clinical study citation, performance backtest, comparative-testing methodology, FDD Item 19 earnings methodology — plus an expiration date and per-vertical / per-jurisdiction conditions.

When an agent attempts a net-new claim, the borderline-routing skill sends it to legal for review. Approved claims get added to the library with substantiation linkage; rejected claims get added to the forbidden-phrase-library with rejection rationale.

When substantiation ages out — clinical study superseded, performance period ended, comparative methodology becomes stale — the claim auto-suspends across every content agent until re-substantiated.

Multi-brand portfolios get per-brand libraries. Multi-vertical operators get per-vertical extensions (FDA structure-function for supplements + cosmetics; FINRA suitability for financial; state-AG cannabis restrictions). Franchise operators get FDD Item 19 earnings-claim discipline. Westlaw stays accessible for ad-hoc case-law research; outside counsel still approves new claims — the skill makes their approvals operationally enforceable across every AI agent in the catalog.

How most operators solve this today

Six tiers of incumbent tools — none maintain a per-operator approved-claims library with substantiation evidence enforced at AI-content-output time.

  • Legal-research databases (Westlaw, LexisNexis)

    $5,000-$15,000 per seat/year

    Counsel-facing case-law research. Not operator-facing; no claim-library output; no AI-agent enforcement.

  • Substantiation-research firms (IMS Legal Strategies, Compass Lexecon, expert witnesses)

    $5,000-$20,000+ per substantiation memo

    Per-claim memo authored manually. Engaged for individual high-risk claims. Memos sit in legal team drives; AI agents have no access.

  • Advertising-compliance counsel (Kelley Drye, Manatt, Frankfurt Kurnit)

    $400-$800/hr; retainer $50,000-$200,000+/yr

    Approves claims and drafts substantiation memos. Approvals live in email threads. No structured library; no AI-agent enforcement.

  • In-house VP-Compliance / marketing-legal counsel

    $90,000-$200,000/yr salary

    Single reviewer bottleneck. Bottlenecks at 50+ content pieces per week. Approvals captured in Slack and Docs; no enforcement layer.

  • Single-channel compliance software (PerformLine, Hearsay Systems, Smarsh, ProofPoint)

    $25-$65 per user/month or $30,000-$150,000/yr

    Channel-specific (affiliate, financial-services social, email DLP). Does not cover full AI-content-production stack.

  • General compliance suites (Compliance.ai, LogicGate, NAVEX)

    $20,000-$150,000/year

    Policy-level documentation and workflow. No per-claim substantiation library; no content-output enforcement.

What changes when this is an agent skill

The Completions claims-allowlist skill maintains a per-operator approved-claims library — each claim linked to substantiation evidence (study citation, performance backtest, methodology), expiration date, and per-vertical / per-jurisdiction conditions. Every content-producing agent in the catalog checks each substantive claim against the library at output time.

Net-new claims trigger borderline-routing (loop 004) — legal reviews; approved claims get added with substantiation linkage; rejected claims feed the forbidden-phrase-library (loop 020).

Expiration alerts auto-suspend claims across every agent when underlying substantiation ages out. Per-vertical filtering composes with per-vertical-compliance-overlay (loop 001) — FDA structure-function claims for supplements + cosmetics, FINRA suitability for financial, state-AG restrictions for cannabis, FTC Franchise Rule Item 19 for franchise earnings claims.

Multi-brand and multi-jurisdiction operators get inheritance — corporate base library; brand / vertical / jurisdiction sub-libraries override or extend. Outside counsel still approves new claims; the skill makes their approvals operationally enforceable across every AI content agent. Westlaw, LexisNexis, and substantiation-research firms remain for ad-hoc deep research; the canonical library lives in the skill.

Agents that include this skill

Skills live inside agent rentals. To get this skill in production, hire any of the agents below — context-tuning at onboarding is included in the first month.

FAQ

What is claims substantiation?
The legal requirement that every advertising claim be supported by competent and reliable evidence before it is made. The FTC enforces against unsubstantiated claims; FDA enforces against unsubstantiated health claims; state AGs and class-action lawyers add additional risk. This skill maintains an operator-specific allowlist of pre-substantiated claims that AI content agents check against at output time.
How is this different from a legal-research database (Westlaw, LexisNexis)?
Legal databases give counsel access to case-law precedent for ad-hoc claim research. This skill is the operator's own claims library — built from the operator's substantiation evidence (studies, testing, performance data, FDD Item 19 methodology), enforced programmatically at AI-content-generation time.
How is this different from advertising compliance counsel (outside law firm)?
Outside counsel substantiates individual claims at $400-$800/hr. This skill productizes the substantiation library across every content-producing agent. Counsel still approves new claims; the skill makes their approvals operationally enforceable.
What about FTC Franchise Rule earnings claims?
Franchise operators making earnings claims must follow FDD Item 19 methodology. The skill supports franchisor-approved Item-19 earnings claims with substantiation methodology linkage; franchisee-level deviation triggers a borderline-routing review.
What about FDA health claims for supplements and cosmetics?
FDA distinguishes structure-function claims (allowed with substantiation plus disclaimer) from disease claims (require pre-market FDA approval). The skill's per-vertical filtering enforces the distinction at the language level.
How are expired or invalidated claims handled?
Every approved claim has a substantiation-evidence link plus expiration date. When evidence ages out — clinical study superseded, performance period ended, comparative testing methodology becomes outdated — the claim auto-suspends across every content agent. Re-substantiation re-activates it.
Can different brands, verticals, or jurisdictions have separate libraries?
Yes. Multi-brand portfolios get per-brand libraries; multi-vertical operators get per-vertical extensions; multi-jurisdiction operators get per-jurisdiction overrides. Inheritance hierarchy lets corporate set base claims; brand / vertical / jurisdiction sub-libraries override or extend.
How does this compose with forbidden-phrase-library and per-vertical-compliance-overlay?
Forbidden-phrase-library is the negative side — language the operator prohibits. Claims-allowlist is the positive side — claims the operator allows with substantiation. Per-vertical-compliance-overlay enforces regulator-required prohibitions. All three feed the brand-voice-gate which enforces at every content output.

Hire one of the agents that includes this skill