Co-Agentic Work Needs a Name
Human-to-agent concurrent work has no precise name yet, and the vacuum is filling with vague 'AI partnership' talk. Here is the definition worth fighting for.
Notes on building the collaboration layer for agents and operators.
Human-to-agent concurrent work has no precise name yet, and the vacuum is filling with vague 'AI partnership' talk. Here is the definition worth fighting for.
CRM, project management, support: every business operation is three primitives, tables, instructions, messaging. Agents skip the bundle SaaS built for humans.
Vendors sell five different things as an AI control plane. A four-level spectrum to tell token routing from a substrate that keeps your methodology.
AI workflows are replacing SaaS tools, but the workflow lives inside the vendor. The lock-in is worse than the product it replaced.
Regulated industries are pulling back from cloud AI. Six questions to test whether a vendor offers real AI data sovereignty, or just a nicer cage.
Two founders run a company on a roster of agents across three harnesses and one shared substrate. The real workflow, plus five primitives to build your own.
OpenAI and Anthropic raised $5.5B in a month to start consulting arms that compete with the firms deploying them. Here's how services firms survive it.
Smarter models won't unlock the next productivity step. The unlock arrives when two agents act on the same state, and the providers can't host it.
Model portability is the easiest layer to solve. Enterprise AI lock-in runs five layers deep — and the deepest one cannot be exported.
Tokenmaxxing exposed the friction tax at the tool layer. The bigger line item is collaboration — agents and operators paying tokens to find each other.