What's happening at XSI.
Press releases, blog posts, and milestones — cross-published in parity with the xsilodestone.ai blog. Corporate and XSI-AIMS™-spec content lives here; product and customer-story content lives on xsilodestone.ai.
Do you have an apprentice? — XSI Apprentice™ learns a task by watching, then runs it under your sign-off
XSI Apprentice is a governed programming-by-demonstration tool built on the Microsoft Agent Framework — a worker demonstrates a repetitive task once, and Apprentice runs it only with human sign-off.
XSI puts the agentic coworker in the room — voice support, now in preview
Conversational voice support is in preview for XSI LodeStone and XSI-AIMS for the Microsoft Agent Framework — an agent that joins the meeting and takes the huddle, under the same human-gated governance, on infrastructure the customer controls.
The agents are already acting. The governance layer isn't there.
Agents take actions now, on someone's behalf — and the layer that supervises them, on any model or cloud or none, is mostly missing. Why XSI is publishing ours in the open.
Why agentic AI needs a spec, not just a framework
Frameworks tell you how to build an agent. A specification tells everyone what a governed agent must do. The case for XSI-AIMS as an open standard.
Biodiversity of virtual lifeforms
Why the future of agentic systems looks less like one giant model and more like an organism of routed specialists — and what that demands of governance.
XSI-AIMS v2.0 ships — an open governance standard for agentic systems
Extended Systems Intelligence publishes XSI-AIMS v2.0 with the public agent registry and commercial implementations XSI-AIMS Atlas™ and XSI-AIMS Compass™. Substrate-, model-, and deployment-agnostic.
Least-cost routing, reborn
Requirements-scored routing in XSI-AIMS Compass — the cheapest model that meets each call's declared requirements, on every call.
Why does XSI-AIMS have eight kinds of memory?
Eight memory subsystems and the TMS bus that ties them together — how XSI-AIMS Atlas routes memory across the XSI-AIMS architecture.
Why ISPs are the ideal AI market
ISPs have the data, the customer base, and the local presence. They also have the regulatory pressure that makes sovereign agentic AI a fit.
XSI-AIMS™ for MAF listing approved on Microsoft AppSource
Microsoft approved XSI-AIMS™ for the Microsoft Agent Framework for listing on AppSource. The Contact-Me listing opens June 22.
XSI-AIMS™ for the Microsoft Agent Framework is live on AppSource
The first substrate runtime of the XSI-AIMS open standard is live on Microsoft AppSource — one click from any team building on the Microsoft Agent Framework.
There are nearly 2.8 million models on Hugging Face. Your ISP needs exactly the right six.
Model selection as a curation discipline — why curated skills beat catalog sprawl.
What 30 years of broadband intelligence looks like when it runs as an agent
ETI domain intelligence, operationalized on the appliance.
The FCC compliance obligation that will define broadband operations for the next decade
BDC filings as an automation problem — and what agents change.
Your cloud AI bill will surprise you. Here's the math.
Cloud vs on-prem TCO for production agentic workloads.
Why your AI agent should start by doing nothing
Shadow mode as the responsible on-ramp to autonomy.
Why "TM Forum-aligned" is the difference between an AI demo and an ISP deployment
Standards alignment as the deployment gate for telecom.
Why most AI appliances won't survive production
What separates a demo box from a production appliance.
AI agents that make things up will cost your business more than you think
Consensus validation as the answer to hallucinating agents.
Your AI knows your secrets. Where does it keep them?
Data sovereignty as the first question of agentic AI.
From the field: what we learned building AI agents for ISP operations
Field notes from the first deployments.
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