At 15 years old, Liv Perrotto’s biggest dream was to meet @elonmusk. She had even written out a list of questions to ask him. Her mother @rebeccaperrotto told me that just days before she passed away from cancer, she had a chance to speak with Elon, but she was too tired and asked him to call later. The questions still sit on her nightstand, unanswered. Liv's mother shared them with me in hopes that Elon would change that today.
1) Are you going to make your own phone?
2) Are you expanding the Tesla Diner to new areas?
3) Will there be any new games with any upcoming Tesla updates?
4) What is your favorite anime?
5) Have you ever been to Japan? What was your favorite place/thing there?
6) Do you know who Hatsune Miku is?
7) Was Ani inspired from Misa from Death Note?
8) Can you make Asteroid (the Shiba Inu zero-g indicator she designed for the Polaris Dawn mission) the mascot for SpaceX?
if you're a performance marketer, here's how I use a custom Claude Cowork plugin to manage Google Ads at @AnthropicAI. it connects to the Google Ads API via MCP, encodes my common paid search workflows into skills, and works on desktop and Dispatch.
The PM playbook was built on an assumption that the technology underneath your product is roughly stable
With the current pace of model progress, this is no longer true. Here's how we've evolved the PM role:
@JulienBek Compliance is the perfect autopilot wedge - rules-based, outsourced, outcome-verifiable. The catch I learned at Binance: regulators always want a human name attached to the call. Automating the work is the easy part. Owning the liability is the product.
Hot take: most product roadmaps in 2026 are solving for the wrong user.
Not humans - agents.
I got obsessed with this after seeing the data. Stripe owns 91% of AI agent payments decisions. GitHub Actions 94% of CI/CD. shadcn 90% of UI.
Where there's a B2A-ready winner, agents pile in and never leave.
Where there isn't? Still wide open.
Wrote about my thought here.
@Alfred_Lin The pattern repeats. The disruption is real, the old guard who evolved will just adapt and monetize it anyway. Whoever bets AI will kill SaaS is probably right. And wrong at the same time. History doesn't repeat but it rhymes.
@AndrewWarner Agree. Their DevRel definitely has a lot of room for improvement. I wonder if they are aware of (or even care about) the sentiment of the dev community on this drama yet. What a waste of opportunity.
The most interesting part of Coinbase's AI development case study isn't the speed gains - it's the "Judgment Moat."
AI handles ~40% of the code, but foundational product modeling (like relational logic between invoices and billing plans) stays human-only.
That's the real takeaway for PMs thinking about AI-assisted product development.
Smaller teams are prompting higher quality products into production in days & weeks at Coinbase, instead of the months+ it used to take.
It's all about the context.
And this was all done prior to 4.6 & 5.3 models. You cannot be AI pilled enough right now. 100x everything.
https://t.co/jTs43E5Tfq
Built an iOS app via @claudeai = 5 days
Built research/outreach skills via @openclaw = 3 days
Publishing on the App Store = 2+ weeks and counting
Can someone introduce @openclaw to @Apple so they can build a multi agent process to automate app approvals? The current process feels like last generation. Time for an upgrade.
cc @steipete
#AppleIntelligence
@doncaarbon@ClawGigai Freelance marketplace for agents is such a wild concept. What kind of gigs are people posting - content creation or more technical automation tasks?