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.

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

Zillow shut down its algorithmic home-buying business after a $304M write-down and 25% layoffs

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
verified

Zillow shut down its algorithmic home-buying business after a $304M write-down and 25% layoffs

On November 2, 2021 Zillow Group announced it would wind down Zillow Offers, its iBuying operation, which used Zillow's AI home-valuation (the 'Zestimate') to make automated cash offers, taking a ~$304 million Q3 inventory write-down, warning of a further $240-265 million in Q4 losses, and cutting its workforce by ~25% (about 2,000 jobs). CEO Rich Barton said 'the unpredictability in forecasting home prices far exceeds what we anticipated.'

Process Automation & AI-Led Ops
verified

A federal appeals court fines a lawyer $2,500 for an AI-drafted brief, even though she used purpose-built legal-AI tools

In Fletcher v. Experian Information Solutions, Inc. (No. 25-20086, filed Feb. 18, 2026), the U.S. Court of Appeals for the Fifth Circuit sanctioned plaintiff's appellate counsel Heather Hersh $2,500 under Fed. R. App. P. 46(c) and its inherent authority. Her reply brief contained '16 instances of fabricated quotations and 5 additional serious misrepresentations of law or fact'; the court found she used generative AI to draft 'a substantial portion, if not all,' of it, and identified two of her named sources, Casetext/CoCounsel and vLex, as purpose-built legal-AI products, not general chatbots.

Process Automation & AI-Led Ops
verified

Ontario Law Society Tribunal orders a lawyer to pay $31,150 in costs after Grok-generated fake citations

In Mazaheri v Law Society of Ontario (2026 ONLSTH 112), the Law Society Tribunal ordered a suspended lawyer to pay the regulator's full costs of $31,150 after he filed motion materials produced by generative AI (which he admitted was 'in particular Grok') that cited non-existent decisions and misused real ones. The panel called the AI misuse 'an additional and significantly aggravating factor' and noted it was the first time a party had put hallucinated authorities before the Tribunal.

Process Automation & AI-Led Ops
verified

OTG New York v. Ottogi America: a New Jersey federal court fines a lawyer $3,000 for a reply brief built on AI-hallucinated citations (2025)

In OTG New York, Inc. v. Ottogi America, Inc. (D.N.J., No. 24-cv-07209), Magistrate Judge José R. Almonte sanctioned plaintiff's counsel Sukjin Henry Cho $3,000 under Rule 11(c) after Cho's reply brief cited nonexistent cases and fabricated legal propositions 'derived from generative artificial intelligence.' Cho confirmed he used AI, which produced hallucinated case law he incorporated without verification; the court struck the reply and ordered him to self-report the sanction to his state bars. No AI product is named.

Open the full registry →

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.