
Founder/CEO @GlobalizeWe | Member @1871Tech | AEA (Agentic Enrichment Architecture) Patent Pending | GW Slateβ’ β’ Sovereign AI β’ GW Agentic AI Interoperability
Chicago, IL 60606
Joined November 2010
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Gartner: by 2030, 80% of the Global 500 will contractually make the CIO the "Evidence Custodian" for AI accountability.
A name in a contract, attached to the record of what your agents did.
That record has to exist first.
Michael Asquith πΊπ² π¨π¦ πΊπ¦ πΊπ³ retweeted
Answerable, discoverable, publishable, reusable: four of the eight gates in Fossil Poetry are search work.
Cultural fit, brand consistency, policy safety and auditability are why your brand's AI answers deserve trust.
Michael Asquith πΊπ² π¨π¦ πΊπ¦ πΊπ³ retweeted
Emerson, 1844: "language is fossil poetry." Every word started as a living image, then set through use.
Brand memory hardens like that too. Each approved term was someone's live call about a market. Stored without its reason, it fossilizes, and AI repeats fossils fluently.
Emerson, 1844: "language is fossil poetry." Every word started as a living image, then set through use.
Brand memory hardens like that too. Each approved term was someone's live call about a market. Stored without its reason, it fossilizes, and AI repeats fossils fluently.
Part II: the five returns of governing the memory you already own, and the eight gates a market-ready asset clears. globalizewe.substack.com/p/f⦠#CulturalIntelligence #GlobalizeWe
Michael Asquith πΊπ² π¨π¦ πΊπ¦ πΊπ³ retweeted
Simple work. Frontier prices.
Classify, extract, draft: routine agent work often runs on the most expensive model in the stack.
We built a one-input calculator that estimates what routing it to small local models could recover.
Michael Asquith πΊπ² π¨π¦ πΊπ¦ πΊπ³ retweeted
πWatching #LocWorld56 from Chicago this week. βFrom Chaos to Orderβ is a theme worth sitting with.
Much of a global brandβs order already lives in its TMs, termbases and cleared claims. The real work is keeping each entryβs reason attached; AI repeats the entry either way.
Michael Asquith πΊπ² π¨π¦ πΊπ¦ πΊπ³ retweeted
1/ Every line on our Manta Graphβ’ is earned by a receipt.
It now runs live on our GW Slateβ’ console: 200 receipts projected into one map, 241 nodes, 3 planes.
What the controls do and what the map tells us π§΅
Simple work. Frontier prices.
Classify, extract, draft: routine agent work often runs on the most expensive model in the stack.
We built a one-input calculator that estimates what routing it to small local models could recover.
Example: $24,000/mo in LLM and API spend gives an illustrative recoverable range of $7,200β$12,000/mo, or $86,400β$144,000/yr.
The calculator estimates. Our Diagnostic Sprint measures the actual number on your stack.
Small models take the routine. Your people keep the judgment.
Run your number: globalizewe.com/tools/token-β¦
πWatching #LocWorld56 from Chicago this week. βFrom Chaos to Orderβ is a theme worth sitting with.
Much of a global brandβs order already lives in its TMs, termbases and cleared claims. The real work is keeping each entryβs reason attached; AI repeats the entry either way.
Part I traces the legend from the textbook to AI search: globalizewe.substack.com/p/tβ¦
#Localization #GlobalizeWe #businessoutcomes #EnterpriseAI
1/ Every line on our Manta Graphβ’ is earned by a receipt.
It now runs live on our GW Slateβ’ console: 200 receipts projected into one map, 241 nodes, 3 planes.
What the controls do and what the map tells us π§΅
5/ The economy view reads βno baselineβ for token cost today. Token counts reach our receipts in the next build.
Then it shows cost per outcome and the failure ring: spend that produced nothing.
6/ AI spend you can see, outcome by outcome. That is where a Manta Graphβ’ Diagnostic starts.
#GWSlate #IrisMeridian #MantaGraph #ReceiptRails

