How I AI

Claire Vo
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268 snips
Nov 11, 2026 • 34min

Claude Code + Obsidian: My family’s AI brain | Scott Farrar

Scott Farrar, a math educator, parent, and AI toolmaker, shares his family’s “household brain” built with Claude Code, Markdown, and Obsidian. He explores using AI to organize warranties, insurance, repairs, and shared to-do lists, plus a wall display for family priorities and wins. He also discusses designing math tutors that preserve children’s thinking and agency.
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301 snips
Nov 9, 2026 • 25min

Claude Fable 5.2 review: fast, creative, and finally not annoying

Anthropic’s Fable 5.2 gets a hands-on stress test through animated videos, flat-pack furniture assembly from blurry photos, a bug-fighting game, and a major product-pipeline re-architecture. The discussion compares it with Opus 5.5, explores its creative speed and autonomy, and examines where it stumbles, especially in web design. A polished interactive 3D typewriter rounds out the showcase.
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126 snips
Nov 9, 2026 • 39min

How this founder built a better Duolingo with Codex | William Imoh

William Imoh, founder of Hackmamba and creator of Mural, taught himself to code after studying chemical engineering. He shares how Codex and GPT Live helped him build a native voice app for learning Norwegian, from immersive design to real-time corrections. He also reveals his Lord of the Rings-themed AI team, broad agent access, and why dependency on AI worries him more than replacement.
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259 snips
Nov 2, 2026 • 42min

How Figma’s PMs actually use AI every day | Ezra Mechaber (PM, Figma)

Ezra Mechaber, a growth product manager at Figma, shares how PMs use AI to transform everyday work. He explores PM OS, a shared toolkit for Slack triage, meeting prep, coaching, and product specs. He also demos Codex for bug bashes, AutoXP for automated growth experiments, and Jev, a real-time writing partner.
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515 snips
Oct 28, 2026 • 35min

Grok vs. Dot vs. Muse vs. Claude Duet: which one crushes the competition?

Four personal AI agents face nine everyday challenges, from Slack replies and bug fixes to Figma design, inbox triage, family publishing, homework help, shopping, and a product launch video. See how Grok, Dot, Muse, and Claude Duet compare across work, creative, and personal tasks, with surprising standouts in each category.
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164 snips
Oct 26, 2026 • 30min

Why Reddit built its own AI prototyping tool | Blair Metcalf

Blair Metcalf, Principal UX Engineer at Reddit, built Reddit Proto, an internal AI prototyping harness now used across the company. He explores why real Reddit data makes prototypes more convincing, how annotations become targeted code edits, and how interactive reviews reshape leadership feedback. Plus: feature capsules, design-system-to-code mapping, a visual “Rosetta stone,” and what happens when AI goes sideways.
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444 snips
Oct 21, 2026 • 16min

Claude Duet is beautiful. I still forgot to use it

Claude Duet arrives as a beautifully designed personal agent for busy professionals, with thoughtful onboarding, task lists, artifacts, and channels. Real-world tests cover inbox triage, Slack, sales pipelines, Google Docs decks, launch videos, and Warriors tickets. The review explores frustrating latency, weak proactive engagement, missing desktop access, limited creative skills, and the gap between solo and collaborative AI.
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237 snips
Oct 19, 2026 • 37min

“Claude cuts my TikTok”: How this creator is scaling video with AI | Brooke Lacey

Brooke Lacey is a technologist, creator, and app builder with 25+ years in tech, best known for her huge TikTok following and AI-learning app, Zosha. She demos Claude Code turning raw phone footage into polished videos in seconds. They explore jump-cut comedy, Whisper and FFmpeg, teaching AI her creative style, mining comments for scripts, and scaling content without an editor.
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141 snips
Oct 14, 2026 • 24min

Meta’s new ‘Muse Wonder’ model: good for AI agents, bad for design

Meta’s Muse Wonder models face nearly 20 tests spanning coding, research, email, voice assistants, agent workflows, SVG illustration, and short-form video. The results reveal standout performance in complex agentic tasks and backend implementation, while design and creative output fall noticeably behind. A billing workflow puts its sustained focus to the test, and comparisons with leading models highlight where Muse belongs in real-world workflows.
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458 snips
Oct 12, 2026 • 38min

How Meta designed Muse: an AI agent people actually want to talk to | Alex Cornell (Design Director)

Alex Cornell, Meta design director leading Muse, explores how to make AI agents feel natural and approachable. He discusses messaging-inspired interfaces, layered status updates, generative UI, and turning Instagram saves into a personalized shopping catalog. He also shares creative uses for golf tracking, archived blogs, and chess analysis, plus the design challenges of unpredictable AI outputs.

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