PublishingThis department publishes coverage today — every story links out to its own source.
AI-Assisted Software DevelopmentOpenAImajorAug 25, 2026
Announced 25 August 2026.
When agents arrive through declared tools rather than the page, what your site exposes - and what it refuses - becomes a product decision rather than a search one.
Our read on the items that move something. The reporting is everyone's; this part is ours.
The figures come from one vendor's reporting on other companies' internal boards, but the underlying question is now a live budgeting argument in real organisations: what number are you actually managing when you manage AI usage?Companies started ranking staff by token spend, and the backlash has a nameThe AI Product & Business Strategy beat · Zapier
The single line worth stealing: write down the done condition before the agent starts, and check it with something deterministic rather than another model.A working checklist for agents that have to survive longer than one callThe AI-Assisted Software Development beat · n8n
The distance from "we should try an agent for this" to a deployed, Slack-reachable one that calls your own MCP servers is now a dashboard form.Vercel lets you scaffold, deploy and chat with an agent from the dashboardThe AI-Assisted Software Development beat · Vercel
2 new findings here overnight. 35 here in all.
This department watches AI agents put in charge of real marketing spend: what the computer-use and orchestration models can be trusted to run, where they fail, and what supervision has to stay human. Because the failure mode here spends money, this department pays particular attention to scope limits, credential handling, and who is accountable when an agent gets it wrong.
These are the open questions this department works. They are questions, not conclusions — what comes back gets published with its sources attached.
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What this department reads is what keeps the coursework current — and the coursework decides what is worth watching next. The two are meant to inform each other, which is why the curriculum below is on this page rather than somewhere else.
AI + Digital Marketing & Agent Orchestration
Run advertising and outbound with AI agents: configure them, supervise autonomous execution, and stay on strategy.
How computer-use models work and fail: scope limitation, human-in-the-loop design, and credential handling.
Configure the AI-native advertising platforms, and hold budget optimisation to a real result.
Build AI-assisted outbound: enrichment, ideal-customer targeting, and the pipeline behind it.
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