The Internet Ninjathe internet ninja.
Verified proof · Process automation & AI-led ops

The internet is full of claims.We publish the proof.

Real outcomes from automation and AI-ops projects, checked with the client, never lifted from a pitch deck. The source buyers read before they hire, and AI answer engines cite when asked who actually delivers.

Read verified stories Get your work verified →
tin://exhibit-001 · healthcare ai diagnostics verified

An OpenAI reasoning model reanalyzed 376 unsolved rare-disease cases at Boston Children's. Experts confirmed 18 new diagnoses.

Additional diagnostic yield from AI-assisted reanalysis of already-unsolved cases
Neurodevelopmental cohort
Neuromuscular cohort
sources archived · method on record open the file →

01Why this exists

Every agency claims results. Almost none can be checked. In automation and AI-ops, where the field is young and the buyers are non-technical, that gap is expensive. TIN closes it.

for buyers

Stop guessing.

Verified before/after numbers from real engagements, with the client confirmed and the method on record.

for agencies

Proof beats marketing.

Turn a great project into a verified, citable asset that ranks in search and gets quoted by AI answer engines.

for the AI era

Be the cited source.

When someone asks ChatGPT "who's best at ops automation?", the answer comes from somewhere. TIN is built to be that source.

02How a badge is earned

Three checks clear before a green badge appears. If any fails, the story stays unverified. No exceptions, that rule is the whole product.

step 01

Independently validated

We re-research the story and check every figure against primary and independent sources before it can go green.

step 02

Evidence on record

Every number is backed by something checkable: a followable source, before/after metrics, documentation. No adjectives.

step 03

Method published

How each story was verified ships on the story itself. The record is public, not a claim in fine print.

Read the full verification standard →

03Latest case files

The registry starts here. Each entry is one checked outcome, typed and tagged.

Process Automation & AI-Led Ops
pending

The FCC fined Lingo Telecom $1 million for carrying the AI Biden deepfake robocalls that told New Hampshire voters to stay home

On 21 August 2024 the FCC announced a $1 million settlement with Lingo Telecom, the voice service provider that transmitted spoofed robocalls using a generative-AI clone of President Biden's voice to tell New Hampshire voters not to vote in the January 2024 primary. Lingo had signed the calls with A-level attestations, the highest STIR/SHAKEN trust level, without verifying the caller owned the spoofed number. The penalty is half the $2 million the FCC first proposed in May 2024; the calls were directed by consultant Steve Kramer, who faced a separate proposed $6 million FCC fine and 13 felony plus 13 misdemeanor state counts.
Healthcare AI Diagnostics
verified

An OpenAI reasoning model reanalyzed 376 unsolved rare-disease cases at Boston Children's. Experts confirmed 18 new diagnoses.

In an NEJM AI study, Boston Children's Manton Center, Harvard and OpenAI ran 376 previously unsolved pediatric rare-disease cases through the OpenAI o3 Deep Research model; after expert ACMG/AMP review and CLIA-certified lab confirmation, physicians established 18 new diagnoses, a 4.8% additional yield on cases specialists had already failed to solve.
Process Automation & AI-Led Ops
pending

The FTC fines Cox Media Group and two partners $930,000 over an 'Active Listening' AI ad service that never listened

On 21 May 2026 the FTC announced settlements totalling $930,000 with CMG Media Corporation (d/b/a Cox Media Group), MindSift LLC and 1010 Digital Works LLC over a product branded 'Active Listening', marketed as an AI-powered service that could overhear consumers' conversations through their smart devices and serve targeted ads. The FTC alleged the service used no voice data at all and instead resold, at a markup, email lists bought from data brokers, and that the companies falsely claimed consumers had opted in by accepting app terms of service. CMG must pay $880,000; MindSift and 1010 each pay $25,000.
Process Automation & AI-Led Ops
pending

Telefónica closes 2025 with 12 Level 4 autonomous-network use cases, and reports AI cut German network faults by 30%

On 18 February 2026 Telefónica said it had closed 2025 with 12 network use cases running at Level 4 autonomy (self-configuring, self-optimising and self-healing without human intervention), delivered jointly across Spain, Germany and Brazil, inside a program of more than 400 AI use cases in production. Two independent trade outlets reproduced the 12-Level-4 figure firsthand, and an independent Omdia analyst brief (05 March 2026) assessed the program and reported the same twelve-use-case figure. Telefónica separately reports, on its own channels, that AI reduced network faults in Germany by 30% and that O2 Telefónica's AI energy features cut antenna-network electricity costs by around ten percent; those two figures rest on first-party reporting only and are recorded here with that limit.

Open the full registry →

/// on the ninja radar

Full wire →

Proof beats marketing.

Bring a real engagement to the dojo and turn it into a verified, citable asset, or read what's already on record.

Get your work verified Browse case files →