Start an Independent Verification and Scorecard Service for AI Agents

1. 1

   Build test batteries worth trusting

   Per category: task-completion suites, hallucination probes (does the sales agent invent discounts or policies), adversarial and injection attempts, data-boundary checks, and degradation under malformed inputs, all versioned and repeatable. Published methodology is what separates a lab from a blog.

2. 2

   Sell the pre-purchase assessment

   A buyer choosing between three agent vendors pays a fixed fee for a comparative assessment against their actual use case; the deliverable is a decision, which prices far above a report. Mid-size companies deploying customer-facing agents are the eager first market.

3. 3

   Publish scorecards with a bright ethical line

   Category scorecards build the authority flywheel, and the entire asset is independence: no vendor payment for inclusion, placement, or retesting priority, stated publicly and kept. One compromised ranking ends the franchise.

4. 4

   Design legally careful publication

   Test truthfully, document everything, describe findings factually, and give vendors a response window before publication; a media-law review of your publication process is cheap armor against the inevitable unhappy vendor.

5. 5

   Standardize toward certification

   As the batteries mature, a 'verified' mark with annual retesting becomes recurring vendor-paid revenue, kept honest by the same no-influence rules and public methodology. Sequence it after buyer-side authority is established, not before.

6. 6

   Ride the incident news cycle

   Every public agent failure (leaked data, invented policies, rogue refunds) is your category's marketing; rapid, factual teardown analyses of public incidents build the reputation that buyers remember at procurement time.

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