How I AI

William Imoh is the founder of Hackmamba, a developer marketing company, and the creator of Mural, a real-time voice app he built to learn Norwegian after moving from Dubai to Norway. He has a chemical engineering degree, taught himself to code, and spent four years as a product manager, but he had never written a line of Swift. In this episode, William shows how he used Codex and GPT-Live to build Mural natively for iOS and Android, then walks through the Lord of the Rings–themed Grok Bot “fellowship” that helps him run a team of about 25 as a solo founder.

What you’ll learn:
The design prompt that made Mural look nothing like any other language app
Why 1,000 days of Duolingo left him unable to hold a conversation in Norwegian
What GPT-Live-1 costs per session and the latency threshold that makes or breaks a voice tutor
How he assigned every solo founder role to a Lord of the Rings character in Grok
Why he gave his agents access to everything across 15 open tabs, except one thing
What he still has to do himself after the models improved
Why the fear that keeps him up isn’t replacement—it’s dependency
—
Brought to you by:
WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more
Vanta—Automate compliance and simplify security
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In this episode, we cover:
(00:00) Teaser
(02:52) Introduction to William and his language learning app
(05:58) William’s tech background and how he started building
(08:07) The first prompt
(11:09) The importance of design language and articulation
(14:38) Live demo: a Norwegian conversation
(21:11) Having a growth mindset
(22:48) Why GPT Live works for this
(23:34) What it costs to run
(24:50) Running Hackmamba with agents
(26:58) Codex projects for organization
(28:47) His Lord of the Rings Grok Bot fellowship
(34:05) Recap
(34:54) Prompting strategies
(37:21) Where to find William
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References:
• Mural on GitHub: https://github.com/Chuloo/mural
• Codex: https://chatgpt.com/codex
• GPT-Live: https://openai.com/index/introducing-gpt-live/
• Grok Bot: https://grokbot.com/
• Cursor: https://cursor.com/
• Boki: https://boki.io/
• Notion: https://www.notion.com/
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Where to find William Imoh:
X: https://x.com/iChuloo
LinkedIn: https://www.linkedin.com/in/william-imoh
Hackmamba: https://hackmamba.io/
Hackmamba Podcast: https://hackmamba.io/eoc-podcast/
Mural: https://mural.chat/
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Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
X: https://x.com/clairevo
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Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

Ezra Mechaber is a growth product manager at Figma whose goal is to be “lazy in the right places.” When he joined Figma, he found almost no one outside engineering using AI to get real work done, so he and a couple of fellow PMs turned his personal Claude Code setup into PM OS, a shared repo of 31 skills that every PM at Figma now uses. In this episode, Ezra walks me through his favorite skills, how he bug bashes with Codex, AutoXP—an automated growth PM that found a huge win on its very first experiment—and a real-time writing assistant he built with Jev.

What you’ll learn:
Why PM OS is a repo, not a product
The skill Ezra runs six times a day to tame Slack
How one repo keeps 60 to 70 PMs in sync
Why his bug-bash agent catches things he never would
How AutoXP runs experiments with one human checkpoint
Why Jev took over every meeting he was in for two weeks
What to do when you want to yell at your AI
—
Brought to you by:
Optimizely—Your AI agent orchestration platform for marketing and digital teams
Jira Product Discovery—Prioritize with insights, build with confidence
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In this episode, we cover:
(00:00) Episode preview
(00:51) Introduction to Ezra Mechaber
(02:04) The origin story of Figma’s PM OS
(06:30) PM OS demo: the “chief of staff” setup
(10:28) How the repo works: skills, hooks, and private sub-repos
(12:00) How the skills got built, roasted, and whittled down
(14:15) Build artifact, FigJam MCP, and coaching skills
(17:33) Transitioning from the terminal to a local web front end
(19:30) Bug bashing with Codex
(22:08) AutoXP: an automated growth PM
(26:26) Claire’s Experiment Engine backstory
(26:58) Building a real-time writing assistant with Jev
(33:15) Lightning round and final thoughts
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Tools referenced:
• Figma: https://www.figma.com/
• FigJam: https://www.figma.com/figjam/
• Figma MCP server: https://developers.figma.com/docs/figma-mcp-server/
• Claude Code: https://www.claude.com/product/claude-code
• Codex: https://openai.com/codex/
• Cursor Automations: https://cursor.com/docs/cloud-agent/automations
• Jev: https://typesafe.ai/
• Marker: https://marker.page/
• Instinct: https://instinct.com/
• Dots: https://openai.com/index/introducing-dots/
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Other reference:
• Jev for beginners: how to use it and what to build: https://www.lennysnewsletter.com/p/jev-for-beginners-how-to-use-it-and
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Where to find Ezra Mechaber:
X: https://x.com/ezramechaber
LinkedIn: https://www.linkedin.com/in/ezra-mechaber
Website: https://ezramechaber.com/
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Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
X: https://x.com/clairevo
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Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

I have personal-agent fatigue, so I ran the first How I AI personal-agent benchmark: Grok Bot, Dot, Muse, and Claude Duet across nine real tasks, from a Slack reply and a Sentry bug to a Figma thumbnail, inbox triage, a family newspaper, physics homework for a fourth grader, shoe shopping, and a ChatPRD launch video. I used computer use to operate them: Claude ran Dot, Codex ran the rest and scored the results live. Here’s the scoreboard—and which agent I’d actually trust for work vs. life.
—
Brought to you by:
WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more
Firecrawl—Give your AI agents web data and beyond
—
In this episode, we cover:
(00:00) Introduction
(02:13) The personal-agent benchmark setup
(05:00) The nine tasks and the prompts I used
(07:20) Scoreboard overview
(10:06) Task 1: Draft a Slack reply as me
(11:39) Task 2: Cut a short-form video from raw Dropbox footage
(14:56) Task 3: Fix a bug from Sentry
(17:30) Task 4: Build a How I AI thumbnail in Figma
(19:25) Task 5: Triage my inbox for to-dos
(21:06) Task 6: Build a family newspaper
(23:30) Task 7: Explain a physics homework question to a fourth grader
(24:54) Task 8: Shop for shoes
(26:46) Task 9: Make a ChatPRD Product Intelligence launch video
(30:01) Final scores
(32:38) My takeaways
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Tools referenced:
• Grok Bot: https://x.ai/bot
• Dot: https://chatgpt.com/features/dots/
• Meta Muse: https://ai.meta.com/muse/
• Claude Duet: https://claude.com/product/claude-duet
• Codex: https://openai.com/codex
• ElevenLabs: https://elevenlabs.io/
• Figma: https://www.figma.com/
• Sentry: https://sentry.io/
• Linear: https://linear.app/
• Dropbox: https://www.dropbox.com/
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Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
X: https://x.com/clairevo
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Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

Blair Metcalf is the principal UX engineer at Reddit and the builder of Reddit Proto, the company’s in-house vibe-coding harness. With a design system MCP that maps Reddit’s product language to production code, Proto has reached 100% adoption across Reddit’s UX and product org, and more than 700 prototypes are live on it.

What you’ll learn:
Why Reddit built its own prototyping harness
How designers share prototypes with leadership safely
Why real Reddit data beats mock data
How one annotation becomes a code edit in Cursor
What a “feature capsule” is
Why Blair built a “Rosetta stone”
Blair’s surprising fix when AI goes sideways
Who turned out to be Reddit’s best prototypers
—
This entire episode is brought to you by:
Firecrawl—Give your AI agents web data and beyond
—
In this episode, we cover:
(00:00) Introduction to Blair
(02:31) Reddit Proto demo
(09:15) Annotations to Cursor: the targeted edit workflow
(11:19) Internal deployment and adoption
(14:14) How leadership reviews and gives feedback
(15:52) Engineering handoff and the feature capsule
(17:50) How the custom MCP was built
(21:41) Quick recap
(24:55) Lightning round and final thoughts
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Tools referenced:
• Cursor: https://www.cursor.com/
• Figma: https://www.figma.com/
• Figma MCP (Figma’s Model Context Protocol integration): https://www.figma.com/mcp-catalog/
• Code Connect (Figma’s code mapping tool): https://www.figma.com/developers/code-connect
• Gemini: https://gemini.google.com/
• ChatGPT: https://chatgpt.com/
• Vercel (referenced as inspiration for internal deploy infra): https://vercel.com/
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Other references:
• Reddit: https://www.reddit.com/
• Kubernetes: https://kubernetes.io/
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Where to find Blair Metcalf:
LinkedIn: https://www.linkedin.com/in/jblairmetcalf
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Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
X: https://x.com/clairevo
—
Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

Anthropic's new personal agent, Claude Duet, lives on your phone, inherits all your Claude plugins and connectors, and is pitched at small business owners and busy professionals. It's the most polished agent launch I've seen: thoughtful onboarding, task lists, first-class artifacts, and Slack-style channels. But polish isn't enough when you're competing with every other personal agent for attention. I put it to work on my inbox and Slack, my sales pipeline, a Google Docs sales deck, a launch video, and finding Warriors tickets for my kids, and I'll walk you through what it nails, where it stalls, and what Anthropic needs to fix before it can become anyone's number one agent.

What you’ll learn:
What Claude Duet is and who Anthropic built it for
The design details that make it far more polished than other personal agent launches
How task lists, artifacts, and channels work as agent primitives
Why a “proactive” agent that never nudges you is a growth problem
How model latency kills your willingness to work with an agent synchronously
Where it fell short on real tasks, from inbox triage to sales decks to launch videos
Why missing desktop and multiplayer support keeps it out of my working stack
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In this episode, we cover:
(00:00) Personal agent fatigue: does Claude Duet make the cut?
(00:40) What Claude Duet is and who it’s for
(01:39) Why the design polish stands out
(03:06) Task lists, artifacts, and channels
(04:53) The icon
(05:27) What I didn’t like: not proactive enough
(07:02) Testing it on email, Slack, and Warriors tickets
(07:41) Why latency matters so much in a personal agent
(10:20) The missing desktop app
(12:12) Sales pipeline and a Google Docs deck
(13:10) Launch videos and the local skills gap
(14:00) Single-player vs. multiplayer agents
(15:05) Final verdict
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Tools referenced:
• Claude Duet (Anthropic): https://claude.com/resources/articles/claude-duet
• Claude Duet Waitlist: https://claude.com/product/claude-duet
• Claude Cowork: https://claude.com/product/cowork
• Meta Muse: https://muse.ai/
• Codex (OpenAI): https://openai.com/codex
• Grok Bot: https://x.ai/bot
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Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
X: https://x.com/clairevo
—
Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.