Most automation projects don't fail on technology.
They fail because nobody owns the result after launch.
Every bot I ship has a named human owner. No owner, no launch.
Security basics for anyone connecting AI agents to their business tools:
- Turn on two-factor everywhere
- Give each bot its own limited access
- Never paste passwords into a chat
- Review what it can send before it sends
Boring. Essential.
Friday reflection:
The most valuable thing an automation gives a small business owner isn't speed.
It's the evenings they stop spending on inbox catch-up.
The hardest FAQ to write down: "How much does it cost?"
Most owners skip it because "it depends."
Two ways to answer without quoting on the spot:
1. A range, plus what moves it
2. A starting point, plus what adds to it
Either beats no answer. Which fits your business?
Before automating your top 3 customer questions, ask one more thing (h/t @yogeshmistry_ai):
Where does each answer live today?
Your head. An old text thread. A note only you can find.
If it's only in your head, write it down first. That's step zero.
Where do yours live?
An automation idea worth building for any owner:
A weekly summary agent. What came in, what got answered, what still needs a human.
Owners don't want dashboards. They want a short note.
Agent design checklist I use before shipping:
☐ One clear job
☐ Written procedure it follows
☐ Access only to what it needs
☐ A human approves outbound actions
☐ Every step logged
Miss one and you'll feel it in week two.
Cursor's Agent SDK is generally available: you define an agent as a folder of code, test it with evals, then deploy it.
An eval checks which tools ran, with what input, and what came back.
That's my bar: prove the bot before it touches a real inbox.
https://t.co/KLCj6Fy3u3
Got your top 3 customer questions? Next step:
Write each answer once, the way you'd say it out loud.
Then add one line under it: "When does this need me?"
That line is what stops an automation from saying something you wouldn't.
Which answer is hardest to write down?
Gemini Decisions API: instead of writing text, the model picks from a fixed set of choices.
That's most of what business automation needs. Route this message. Tag this lead. Send this one to a human.
Fewer free-form answers, fewer surprises. #AIagents
Today we’re launching the Gemini Decisions API, powered by our new Gemini Decision 1 model in @GoogleAIStudio.
Instead of generating text token by token, it’s built for closed-set choices scoring up to 1,000 questions across text, images, audio, video + PDFs in a single pass. A few details:
- 3 decision types: yes/no, multiple choice (up to 255 options) + rubric scoring
- $0.10 / 1M input tokens with $0 billed for output tokens (~5x cheaper than Flash-Lite)
- leads on several benchmark evals with lowest calibration error
Google teams are already building with it, below is a look at Stitch Rapid designing a full product flow in seconds (1x speed)
Grok Bot can now order groceries and essentials end-to-end through Gopuff.
The interesting part for me isn't the snacks. It's an agent finishing a real-world task, not just drafting it.
My builder rule still applies: confirm the cart before anything gets paid. #AIagents
An insurer announced a policy for losses caused by AI agents, on sale Jan. 1, 2027 (SiliconANGLE). Its example: an agent that paid a supplier twice with no human check.
Insurance is a backstop. A simpler first step: human approval before any agent moves money.
#AIagents
A tip from my replies (thanks @BotSetu): don't build your FAQ from memory.
Scroll back through 7 days of WhatsApp chats and missed calls. Write down every question a customer asked.
The ones that repeat are what you automate first.
Which question shows up most in yours?
A pattern I keep seeing:
The business owner wants AI for sales.
The actual bottleneck is answering the same 10 questions all day.
Fix the bottleneck first. Sales gets easier on its own.
Logs are the most underrated part of any AI automation.
When something goes wrong, "the AI did it" is not an answer a client accepts.
What did it see? What did it decide? Who approved it? Write it all down.
I already run my agency with a team of bots. This launch adds sharing them, Slack and Teams, and joining meetings. That's the kind of automation a small business can actually use.
Introducing Grok Bot 1.0. AI teammates that work alongside your whole team.
Share Bots, collaborate with them in Slack and Teams, invite them to meetings, and watch them learn and become more helpful.
Builders: what's your rule for when an agent can act without approval?
Mine: only when the action is easy to undo and has been right many times in a row.
Curious how others draw that line.
Same blueprint, different behavior depending on the cell. Good reminder for anyone building automation too: the same workflow plays out differently in every business.
Context is everything, and the tools that understand it win.
AlphaGenome 2 is helping uncover the cellular drivers of disease, giving scientists a powerful tool to predict how DNA variants impact specific cell types.
Every cell in our body shares the same DNA blueprint, but different cell types (like heart muscle cells vs. immune cells) read that blueprint differently. This new @GoogleDeepMind model predicts how these specialized cells interpret DNA, turning genetic code into biological insights.
Building on AlphaGenome 1 this makes it significantly easier for researchers to link genetic findings to the root causes of disease in the specific cells where they actually unfold.
Test your own contact form tonight. It takes 2 minutes:
- Fill it out like a customer
- Time how long until you hear back
- Did you get a booking link?
- Tomorrow: did anyone follow up?
If the answer is silence, that's where leads go quiet.
What did you find?