Drawer 05 · 298 notes · 90 people · 2014–2026

Building AI products

AI-native products, evals, agents, and how AI changes product work

Q:
Answers from Building AI products notes, cited
SVPG · Marty CaganMay 29, 2025

Product in the AI Era

May 29, 2025

This page is a curated index from SVPG, Marty Cagan's product consultancy, collecting its writing and videos on how generative AI affects product teams. Rather than a single argument, it groups prior pieces by theme…

The Looking Glass · Julie Zhuo♥ 166

Eye, Hand, AI: a letter to my daughter

Aug 5, 2026

Julie Zhuo writes a letter to her 11-year-old daughter about the value of struggling through hard work when AI can make almost anything effortless. The piece frames the problem as a question of cultivating the eye…

Lenny’s Podcast93 min

OpenAI Codex lead on the new shape of product work

Andrew Ambrosino · Jun 28, 2026
Key learnings
  • Implementation is no longer the expensive part of building; the scarce skill is taste, meaning deciding what to build and…
  • Pick the medium deliberately: use a document to clarify a vague product area, and a prototype to stress-test an interaction…
  • Prototypes can look production-ready and anchor teams too early, so label whether something is an exploration or a shipping…
Lenny’s Podcast110 min

First interview with Scale AI’s CEO: $14B Meta deal, what’s working in enterprise AI, and what frontier labs are building next

Jason Droege · Oct 9, 2025
Key learnings
  • Model improvement now relies heavily on experts (80% of Scale's expert network holds a bachelor's or higher) defining what good…
  • Enterprise AI pilots that reach 60-70% accuracy feel close, but robust automation of important processes often takes 6-12 months…
  • Validate a new business by checking whether it can sustain high gross margins and whether competitors can match the economics in…
Lenny’s Newsletter♥ 252

Building AI product sense, part 2

Feb 10, 2026 · 18 min
Subscriber post — summary only

Marily Nika, a former AI PM at Google and Meta, presents a weekly ritual for building AI product sense: probing a model with messy, ambiguous, and difficult inputs to map failure modes before users do. She argues PMs…

SVPG · Marty CaganJul 23, 2026

The AI Productivity Paradox

Jul 23, 2026 · 3 min

Marty Cagan argues that the so-called AI productivity paradox, where teams ship faster but outcomes do not improve, is not really a paradox at all. Most organizations use AI to accelerate the old project model, which is…

SVPG · Marty CaganAug 18, 2025

Build vs Buy in the Age of AI

Aug 18, 2025 · 6 min

Cagan argues that the build-versus-buy question, long familiar in IT and product teams, is being reshaped by generative AI and user-programming tools like Lovable and Bolt. Despite hype that everyone will build and SaaS…

Lenny’s Podcast159 min

Rethinking SEO in the age of AI

Eli Schwartz · Sep 19, 2024
Key learnings
  • Treat SEO as a product: start by understanding the user's search journey and what they would actually type before investing…
  • Skip SEO if you can't name the specific searches your target user would make; many SaaS products lack a real search journey and…
  • Expect AI answers to absorb top-of-funnel discovery queries, and focus SEO effort on mid-funnel, intent-rich queries where users…
@lennysan · Lenny Rachitsky on X♥ 88
"Having to set up and fiddle with your loops… I don't think this is the way that it's going to work." @thsottiaux (Head of ChatGPT & Codex) says we are heading towards Dots being the primary way you talk to AI. Full conversation:
The Looking Glass · Julie Zhuo♥ 53

AI for No Good Reason

Sep 17, 2026
Subscriber post — summary only

Julie Zhuo's paid essay looks at playful, seemingly pointless things people build with AI when no one is tracking the hours or demanding a business case, such as an unusual bird display, a talking phone, and a game…