Category: GenAI
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Simple AI Software Is Becoming the New Shared Spreadsheet
AI lets business teams create useful software as easily as they once built powerful spreadsheets. The opportunity is enormous, but shared tools need a path to become owned, discoverable, and supportable.
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AI Cost per Task: What Token Prices Miss
Token prices matter, but they do not reveal the cost of an AI-enabled business outcome. Cost per successfully completed task is the metric enterprise teams need next.
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Jev Is Not Another LLM. That Is the Point.
Jev gives up text generation to make fast, bounded decisions that software can act on. For high-volume workflows, that may be more useful than another chatbot.
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AI Is Learning to Sound More Human. Humans Are Learning to Sound More Like AI.
AI-trained language is feeding back into how people communicate at work. The risk is not using the tool. It is losing the point of view behind the words.
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A Face Is No Longer Evidence: The Quiet AI Identity Problem
A convincing face, polished profile, and believable online history are now cheap props. Enterprises need to match identity verification to the consequence of being wrong.
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Internal AI Is Not Harmless: Treat It Like Production Infrastructure
Internal AI often gets less scrutiny than customer-facing systems while gaining access to data, APIs, cloud services, and tools. That makes it a high-privilege control plane, not a harmless chatbot.
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Agent-First Design: Enterprise Software Has a Second User
As AI agents begin doing work on behalf of employees, enterprise software will be evaluated not only for people, but for agents that need governed access to data, actions, and workflows.
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Sharing AI Assets: The New Spreadsheet Problem
AI makes it easy for employees to build skills, MCPs, agents, and workflows. Without a shared capability layer, enterprises recreate the spreadsheet era at agent speed.
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Graph Engineering: Giving AI an Org Chart
Graph engineering designs how specialized AI agents, tools, systems, and humans coordinate to produce a business outcome—without recreating organizational chaos at machine speed.
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AI Watermarks Can Prove Origin. They Cannot Prove Authorship.
AI text watermarks may help establish provenance and detect abuse. They cannot, by themselves, settle who wrote, owns, or is accountable for a piece of work.