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Written by Rich Holmes and read by 55,000+ product managers, UXers, engineers and tech leaders at companies including Stripe, Spotify, Netflix and Meta. It sifts the noise so you stay on top of what is happening in AI without feeling buried by it.

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Department of Product
DEPARTMENT OF PRODUCT

🔵 What people are building with Claude Fable 5 so far

Plus: Apple's new design principles, Self-improving products and Lovable's new study reveals what we're vibe coding

Rich Holmes · Jun 12, 2026

Hi product people 👋,

This week, Fable 5 arrived as a safety-tuned version of the powerful Claude Mythos model. We'll take a look at what people are building with it so far.

Plus, while Apple's WWDC was a pretty low key affair this year, the company's talks on product design are always worth a look. And are self-improving products really the future of product development? Amplitude is giving the idea a shot with its latest release.

Have a great weekend!

Rich

Watch on YouTube · Follow on Substack Notes

New Agentic payment and features explored for product teams

AI agents are becoming an economic force on the internet, but the payment infrastructure they need looks nothing like the checkout pages built for humans. This deep dive breaks down the 5 layers of agentic payments emerging in 2026. (Department of Product)

Unexpected lessons from an AI-assisted prototype experiment

Adobe's Veronica Peitong Chen shares surprising lessons from an eight-day experiment using AI-assisted prototyping on the Firefly team. (Adobe)

Are Lean Startup principles still relevant? An AMA with Eric Ries

Eric Ries, author of The Lean Startup, is back with Incorruptible, exploring why good companies drift from their missions through "financial gravity".

Why you need a point of view in the Age of AI

AI has flooded the market with information, but buyers want something simpler: your honest take on the future. (Substack)

Design systems are over. Product context is now the work.

Robin Cannon argues the real work isn't building component libraries anymore; it's codifying product context that AI needs to maintain coherence at scale. (Substack)

How Anthropic build self-service data analytics with Claude

Anthropic's data team automates 95% of analytics queries with Claude. This post reveals how they structured their system to avoid three critical failure modes. (Anthropic)

This week, Apple held its annual WWDC and the big announcement was the revamped version of Siri which now comes with a dedicated mobile app and the ability to swap models. There were no major updates to iOS, with Apple taking the opportunity to ship some refinements including the ability to configure the transparency settings on Liquid Glass.

In this talk, Apple's design evangelists Linda and Doug reveal what great design actually means. They break down seven core principles for building products people truly love.

How to apply Apple's design principles to your own product →

After months of hype around Claude's new Mythos model, Anthropic released a safer version called Fable. Fable 5 uses an AI-based classifier that detects risky requests in three areas — cybersecurity, biology/chemistry, and model distillation — and automatically routes those queries to Claude Opus 4.8 instead.

For product teams, this matters because the fallback architecture lets you deploy frontier capabilities safely — the classifier acts as a safety valve rather than a hard block.

Tech debt and code migration — Anthropic says Fable 5 compressed months of engineering work into days for Stripe's codebase migration. In a 50-million-line Ruby codebase, the model performed a migration in a single day.

Building games — a Minecraft roller coaster game was built in a single shot. If making games becomes easier, could we see more consumer products include them as features?

Video editing — Anthropic's own tech lead used Fable 5 to edit his own video, using "a lot of code and tool calls, transcription services, Figma and others."

Landing pages — a hyper-polished landing page for a SaaS company with liquid glass style components.

Lovable has published its first ever Build Economy report which shares who is building software and what they're building. 80% of Lovable builders are non-technical, with product managers in third place — above designers who come in at number 8.

Who is building on Lovable?

1Non-technical80%2Developers66%3PMs54%4Founders48%8Designers32%

Source: Lovable Build Economy Report 2026

Men account for 82% of all users. 60.5% of builders haven't made any money from their products. The US accounts for 25% of activity, followed by Brazil, the UK, the Netherlands, and Germany.

New research from Atlassian shows 94% of knowledge workers use AI regularly, but disclosing that fact costs them professionally. Colleagues rated peers who admitted to using AI as 10 times lazier — even when evaluating identical work.

AI use cases: emotion-related activities on the rise

0%5%11%202420265%11%Therapy & companionship as % of all AI use

Source: HBR AI in the Wild Report 2026 (n=12,637 use cases)

In just two years, Google searches ending without a click have jumped from 60% to 68%. Paid clicks are growing but organic clicks to the open web collapsed by 9.5 points.

Google searches ending without a click

55%60%65%70%2022202320242025202668%

Source: SparkToro / Datos 2026

Paid subscribers get the full DoP Substack including: The Knowledge Series for sharpening your tech / AI skills, the AI Prompt and Skills library and DoP Deep dive reports.

Penelope Lawrence

Jun 15

the build is the easy part. what i'd actually want to know is how many of these things are still standing 90 days later, when the confident wrong answer becomes somebody's problem to catch.

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