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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.

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tin://exhibit-001 · process automation & ai-led ops verified

An AI-drafted petition, a 'wrong draft' excuse, and a referral to the Florida Bar: JMOR Properties v. Artist Alley Townhomes

Certiorari petition found 'riddled with false citations and arguments,' including a non-existent case allegedly from that Court
Attorney's account: an AI-drafted initial draft was filed unverified when he 'worked from the wrong version'
Sanction: referral to the Florida Bar for consideration of disciplinary proceedings (non-monetary); no AI product named
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

Bartz v. Anthropic: a $1.5 billion settlement, the largest in U.S. copyright history, over pirated books used to train Claude

After Judge William Alsup held in June 2025 that training AI on books was fair use but downloading them from pirate libraries was not, Anthropic settled Bartz v. Anthropic for $1.5 billion - a minimum of about $3,000 for each of roughly half a million pirated books - and a Northern District of California court granted final approval in July 2026, making it the largest copyright settlement in U.S. history.
Process Automation & AI-Led Ops
pending

A VA watchdog found errors in nearly all 8,100 automated survivors' death-benefit decisions it reviewed, with $2.7M in improper payments

A VA Office of Inspector General review of some 8,100 automated Dependency and Indemnity Compensation decisions issued over the 12 months through August 2024 found that at least 8,000 contained a legal or procedural deficiency, that at least 2 percent carried legal errors producing an estimated $2,727,764 in improper payments, and that the fault lay in the automation rules themselves - a rule-based process, not artificial intelligence, applying predefined rules without human involvement.
Process Automation & AI-Led Ops
verified

An AI-drafted petition, a 'wrong draft' excuse, and a referral to the Florida Bar: JMOR Properties v. Artist Alley Townhomes

In JMOR Properties, LLC v. Artist Alley Townhomes, LLC (No. 4D2026-1787, Aug. 12, 2026), Florida's Fourth District Court of Appeal, sitting per curiam, referred attorney Barry M. Leff to the Florida Bar after he filed a certiorari petition it found 'riddled with false citations and arguments', an AI-drafted petition he said he filed in the wrong, unverified version, holding that the mistaken-draft excuse did not cure the duty to verify or the duty of competence.
Process Automation & AI-Led Ops
verified

Spain's AEPD fines Mercadona €2,520,000 over its store-entrance facial-recognition system

In procedimiento sancionador PS/00120/2021, terminated by voluntary payment, Spain's data-protection authority fined the grocery chain Mercadona €2,520,000 for its unlawful algorithmic facial-recognition system and prohibited all such processing.

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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.

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