Reposted by David Gasquez
David Gasquez
@davidgasquez.com
5.4K followers 1.4K following 1.2K posts
Data @ Protocol Labs. Open Data, Open Source, Open Protocols. Walks taker. Progressive Metal enjoyer. davidgasquez.com
Data @ Protocol Labs. Open Data, Open Source, Open Protocols. Walks taker. Progressive Metal enjoyer. davidgasquez.com
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Products that own your context can force you to use their agent... and, I've never seen a good hosted agent!
Organizations need to own their context, and the way to do so effectively already exists and is well understood.
## Context as Data Infrastructure
Have you noticed the [shape of the diagrams](https://storage.googleapis.com/gweb-cloudblog-publish/images/WorkspaceIntelligence.max-2200x2200.png) that every company is adding to their "intelligence" products? I see that and it seems like I'm looking at a Fivetran or dbt product page in 2018. That is because they're the same thing!
Most organizations will need to build and maintain a model-agnostic knowledge base ([aka ontology, company brain, ...](https://x.com/DBredvick/status/2078150905078206789)) for the same reasons they maintain a data warehouse. A curated and normalized layer helps both humans and agents make sense of all the structure that outlives any particular model, harness, tool, or product. Context engineering is [that same work](https://x.com/JoshARosen/status/2084693306722705629): extracting, filtering, curating, modeling, and publishing artifacts to help the organization make better decisions.
For now, it seems there isn't a great set of tools (or [modern context stack](https://x.com/davidgasquez/status/2082895547677954466)) built for this purpose. Something like Fivetran and dbt optimized for the new sources (Slack, Drive) and transformations (transcription, summarization, text extraction from a slide deck, ...).](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:4z5i7njrld66ew36htufcwry/bafkreib2ouip7e2l64iwylfhe6cuqer4zrye7sajdxqjsaeshxqjid3o4e)
