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Where should your company's AI brain live?

Charlie Graham· ·10 min read · 0 reactions · 0 comments · 15 views
Where should your company's AI brain live?
TL;DR · WeSearch summary

Companies are building AI-driven systems that act as institutional memory, embedding company-specific knowledge, workflows, and decision logic. Because these AI brains become deeply integrated, migrating them later can be extremely difficult, making the choice of where they reside a strategic decision. Organizations can host these systems via model providers, existing SaaS platforms, new closed AI startups, or open‑source solutions, each with different trade‑offs.

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Original article
Substack · Charlie Graham
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Original publisherSubstack
Canonical URLhttps://iamcharliegraham.substack.com/p/where-should-your-companys-ai-brain
Publication timeMon, 27 Jul 2026 15:49:20 +0000
Retrieval time2026-07-27T16:06:25.989Z
Last seen2026-07-27T16:06:25.989Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
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Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Where Should Your Company’s AI Brain Live?Companies are scrambling to build AI brains. Most are choosing where it lives by accident, before they understand how hard it will be to move.Charlie GrahamJul 27, 202641ShareI have been working with a lot of companies that are trying to become AI-first.At first, that usually means helping individuals get much better at using AI. They build workflows, create agents, learn how to give the AI useful context, and figure out where it is actually saving them time.Then the workflows and processes start going beyond the individual. An AI workflow takes messy documents from a partner every morning and turns them into the format the company actually uses. A shared dashboard combines data that lives across five SaaS products.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Substack.

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