VOL.2026.09.23 Today's call 2 min read
Wednesday, September 23, 2026
The clearest line today: agents are moving from generating content to actually changing data and sending requests, so screening, judgement and visibility around them are becoming standalone layers. Agent Chaperone watches the calls before and after, AgentJev watches the continue/retry/escalate branch inside multi-step flows, and all-your-agents watches whether you can even see the agents running on your machine. None of these existed before, because nothing used to act on its own.
At the market level, several shifts change the cost of landing: a UK commission set out 44 recommendations on healthcare AI, making compliance clearer but entry more expensive; the compute shortage is spreading from GPUs to server CPUs; and Amazon blocked Meta's Muse from agentic shopping on its platform, meaning whether an AI shopping agent works depends on platform consent.
For ops and security engineers: screen every tool call and its returned result before it reaches downstream systems, to avoid unauthorised actions or anomalous output. It replaces manual review or after-the-fact auditing, and the payment trigger is risk avoidance rather than time saved. Screening rules, deployment model and pricing are undisclosed; uncertain.
Feeds unstructured state such as diffs, traces and logs together with a structured question into a 0.6B model, to decide at each step whether to continue, retry or escalate. It replaces if-else logic and human watching inside the flow. The 0.6B size suggests it is betting on latency rather than capability ceiling, but accuracy and the cost of a wrong call are undisclosed; uncertain.
An open-source project: a small team or solo operator without dedicated ops or marketing staff lets scheduled roles carry out repetitive online tasks through a browser, and receives task files they can edit and keep. It replaces SaaS seats and freelance gigs, distributed as files rather than subscriptions. Who maintains the routines and who is accountable when they break is undisclosed.
Thri5 retail AI, piloted with Wild Fork Foods , Heidi clinical documentation, closed a new round , Biolevate life-science filing drafts and AI·rete·RAG rule engine plus retrieval-generated rationale for auditable decisions all have directional material only; inputs, deliverables and pricing are undisclosed, so no product verdict yet.
What is worth recording today is not how strong any single product is, but that 'who screens the agent once it acts' has produced three different attempts at once. The thing to watch is whether model vendors or platforms simply build this layer in.