OpenClaw Demos AI Agents Automating Outreach, Scheduling
AI Product Management Certification
Today's top 9 insights for PM Builders, ranked by relevance from YouTube, X, and LinkedIn.
OpenClaw Demos AI Agents Automating Outreach, Scheduling
#1 ▶️
How OpenClaw’s AI agents run this founder’s business, family and life | Claire Vo
Lennys Podcast
Claire Vo installed OpenClaw via a one-line Homebrew script on separate macOS machines (three Mac minis and one MacBook Air), configured nine role-based agents (Polly, Finn, Sam, etc.) using Opus-4.6, Sonnet-4.6 and GPT-5.4 models, and linked them to Telegram bots for automating her business outreach and family scheduling.
- She ran “brew install openclaw” in iTerm, chose personal use, selected Opus-4.6, Sonnet-4.6 and GPT-5.4, then registered each agent as a Telegram bot via BotFather.
- Agent “Sam” performs a daily sweep of her CRM for product-led growth signups, enriches leads with Exa People Search, drafts and sends outreach emails via Telegram, replacing a human assistant who worked 10 hours/week.
- She enabled macOS Screen Sharing and Remote Login on her Mac minis to SSH into and view the agent GUIs from her laptop over Wi-Fi, removing the need for dedicated monitors, keyboards or mice.
#2 ▶️
How Claude Cowork's Design Lead Uses Cowork in 40 Min | Jenny Wen
Peter Yang
Jenny Wen uses Claude Co-work to process a folder of UXR interview transcripts and social media feedback, auto-generate weekly insight reports, parallel feature proposals, and slide-deck prototypes, and schedule them every Monday at 10 a.m.
- Co-work ingests a local folder of UXR interview transcripts and scans web sources like Reddit and social media for “Co-work” feedback, employing parallel sub-agents to extract the main insights.
- Co-work spins off two parallel tasks—one listing prioritized P0/P1 product features with one-sentence specs, and another creating a presentation file (.pptx) saved into a designated folder.
- Jenny schedules the Co-work agent to run this insight-to-delivery pipeline every Monday at 10 a.m., yielding a kickoff deck with three product ideas ready for Figma or Cloud Code prototyping.
#3 đť•Ź
Jason Zhou highlights RTK (Rust Token Killer), an open-source tool that cuts Claude Code tokens by up to 60% by stripping noise, merging repeated content, and removing blank lines and progress bars.
#4 đť•Ź
Thariq sketched a new grocery-list feature in Figma and then prompted an AI to convert the mockup into his app’s style while adding extra components.
#5 đť•Ź
Peter Yang suggests that any account replying to over a dozen posts within five seconds is likely AI-generated.
#6 in
Thomas Hendrickx recommends Claire Vo’s How I AI YouTube series for its hands-on, real-world AI workflows—product builds, system setups like Teresa Torres’ Obsidian setup—rather than generic demos.
#7 đť•Ź
Lenny Rachitsky: Claire Vo built 9 OpenClaw agents across 3 Mac Minis to automate sales outreach (replacing a 10 hr/week rep), family scheduling, podcast prep, homework help, and course project management.
#8 đť•Ź
Thariq is excited about Figma’s new MCP, starting with a rough Figma sketch that Claude Code fleshes out into a polished design which he then iterates on before final review.
#9 đť•Ź
There's An AI For That unveiled upgraded autonomous bots that carry up to 25 kg (55 lb), clear 30 cm (12 in) obstacles, mount heavier payloads like micro-missiles and grenade launchers, and use a “collective brain” for real-time data sharing and coordinated action.