Salesforce's Agentforce chief on personal AI agents: a person checks a delayed order once. Their agent "can call back every few hours until the order ships." At 2 a.m. too. Support volume used to be capped by customer patience. Agents don't have any.

make's new task mining records how your team works on the desktop and in the browser, then ranks what's worth automating. you pick which apps it sees. employees can see it running and pause it. fine. just tell your team before you switch it on, not after they find it.

Steve Huynh, ~20 years at Amazon: a senior engineer he knows now tags docs "AI;DR". AI; didn't read. "If a model wrote it, a model can summarize it." His rule: AI for decisions you can undo. A human writes and a human reads anything you can't. Works for automations too.

dhh on agent QA for omarchy: "we can finally replace all that toil with agents." the design detail I'd copy: the agent running the tests only gets a keyboard, a mouse and screenshots. it never reads or changes code. whoever checks the work shouldn't be able to change it.

notion's new AI credits: 1,500 a month per seat if notion picks the model. 500 when you pick it yourself. no rollover. run out and the work pauses until reset, unless an admin pays. meeting notes start using credits dec 1. the default isn't just easier. it's the bigger bucket.

Bob McGrew: when a design changes, "you can retrain a human in a day — but it takes three to six months" to change the automation. His startup Arda says complex workflows at Anduril went from up to 30 hours to ~2.5. The cost of automation isn't building it. It's changing it.

claude code's wait before the first token: 4.07s down to 1.33s (p90, model time excluded). the changes anthropic named: gzip the conversation every turn, start cloud sessions while you type. plumbing, not a smarter model. time everything around the model before you blame it.

OpenAI's new COBOL test: GPT-6.1 Sol migrates 86.6% of programs correctly at low effort. The previous model: 5.4%. Their warning: COBOL drops extra decimals unless told to round. A rewrite that rounds runs fine and moves money wrong. Done means same output, not "it runs".

elevenlabs' new voice agent models: $0.08 a minute for both, plus LLM usage. on tool-calling tasks, max succeeded 87.1% of the time. mini: 60.3%. for support calls, the cheap one gets expensive fast. the per-minute price isn't the bill.

If someone has to check every output, your automation is a draft generator. That's fine. Drafts save real time. Just don't price it, staff it or sell it like it runs on its own.

Gartner, 2,002 CIOs: only 31% have rules for when an AI pilot should not go to production. 17% have rules for shutting down low-value AI that's already live. Those that do are 2.3x and 2.6x more likely to be in Gartner's top group. Write the kill criteria before the kickoff.

minimax m3.1 flash: $0.15 in / $0.60 out per million tokens. deepseek's off-peak rate. artificial analysis: when it didn't answer right, 93% of the time it answered wrong instead of saying it didn't know. cheap tokens. confident mistakes. check it before it writes to a CRM.

a researcher found attackers' AI agent panels left open online. the agents tried 1,200+ company websites and got into sites at 100+ companies. his estimate to reuters: ~$5,000 in tokens. roughly $50 per break-in. breaking in got cheap. patch the old stuff first.

IBM survey, 3,221 execs at large firms in Europe and the Gulf: 80% say an AI incident reached their board or leadership last year. Of those, 40% changed their AI governance policy. An incident that changes nothing is a rehearsal for the next one.

cloudflare's new extraction model was asked for a tracking number that wasn't in the email. it returned null. its best guess was "$52.10". the tax. $0.10 per million input tokens. output is free. for invoices and order emails, "not in here" is the most useful answer.

deepseek opened its own search API this week. $0.75 per 1,000 searches. run deepseek inside claude code or codex? your agent's web searches already hit it. free for now. billing starts nov 1. at 10,000 searches a day that's ~$225 a month. count your agent's searches now.

DHS ordered US civilian agencies to remove DeepSeek and stop buying it. The order also covers third-party products built using DeepSeek. So the question isn't "do you use DeepSeek?" It's "which models are inside the tools you already pay for?" Could you answer that today?

François Chollet: agents write ~100% of the code, engineers have never worked harder, and the bottom line "is typically not budging." Automate one step and the bottleneck moves. Before you automate anything, name the business number it should move. Then check it moved.

google research open-sourced harness2. it tunes everything around the model: prompt, tools, memory, skills. weights untouched. one step: up to +11.5 points on one benchmark, same model. their own scoring. before paying for a bigger model, fix the setup around the one you have.