Insights
Notes from the work.
Practical writing on building enterprise AI that reaches production.
The scarcest enterprise AI skill isn't prompting. Anthropic is spending $100 million to train people who ship
Claude Frontier Academy wants 10,000 Frontier Deployed Engineers by the end of 2027. The curriculum says a lot about what blocks AI in production: security review, handover and adoption.
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Your next agent's best home already exists. Five tests to find agent-ready work
The agents that reach production fastest slot into a decision an existing process already makes. A La Madre framework to find those places in an afternoon.
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In life sciences, production AI rarely looks like a chatbot. Hansa's deal with Cradle shows the alternative
Hansa Biopharma is deploying Cradle's AI protein design platform across discovery. Why the valuable AI in pharma sits inside the design and test cycle.
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The AI development cycle is closing into a loop. CoreWeave Forge turns production runs into the next version
CoreWeave launched Forge, a development layer from training to agents, and added notebooks wired to experiments and evals. What changes when production evidence flows straight back into development.
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Agents need what employees already have: an ID, a manager, a budget and a file
Gateways, agent identity, cross-platform inventories and AI activity in the SIEM, all in one week. Our view: the control layer is forming above the models.
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AI sovereignty now reaches the data center floor. Palantir and Armada sell it as one stack
Palantir and Armada pair a sovereign AI operating system with modular data centers for open-weight models. Sovereignty is moving down to physical infrastructure.
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The SOC is where agent autonomy gets tested first. Exabeam's October release shows both sides
Exabeam added a persistent AI investigation assistant, a Claude Skill Pack and ingestion of AI activity logs. Agents now work inside the SOC and are watched by it.
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Your next identity problem isn't employees. It's agents. HENNGE just built a company around that bet
HENNGE launched HENNGE AI, run by two directors and AI agents, with a planned AI gateway and a roadmap to authenticate non-human identities. Why agent identity is becoming its own IAM discipline.
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Enterprise RAG is learning to plan its own searches. Progress puts that agent inside Microsoft Teams
Progress added a Teams app, a Smart Agent for multistep retrieval and a WordPress plugin to its Agentic RAG platform. What changes when retrieval stops being a single lookup.
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Your agents now live on six platforms. Dataiku and Classie are selling the layer above all of them
Dataiku's Agent Management and Classie's Supervise both promise one inventory and one set of controls for agents built anywhere. What a cross-platform agent control plane can and cannot do.
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The AI gateway is becoming a policy enforcement point, not a proxy. C1's LLM Gateway shows why
C1 launched a single, identity-aware endpoint that decides which model deployment gets each request. Why model routing now belongs to policy, not to application code.
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What September told us: in enterprise AI, the model is no longer the hard part
Twenty announcements in one month, read together. Runtimes became infrastructure, custody moved to the front, evaluation became the control surface. Our synthesis, and what we are watching in October.
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