Rob: AI-assisted generation is still in early stages. Saving someone 2 minutes isn't interesting. Saving someone a day is. We don't seem to have good patterns for where it is *actually* unlocking excess value yet, but many companies doing e.g. auto-generated notes on calls, etc.
AUTOMATION
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Top Six In-Product AI Usage Patterns From Chat to Agentic
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In-product usage #1: "Chat" / conversational interface
#2: Generation
#3: Categorization
#4: Ingestion
#5: Analysis
#6: Agentic interfaces (MCP / CLI) -
$10K/month with Claude, no coding needed
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>estaba usando Claude como si fuera Google
— SONIA (@S0N_IA_) 14 avril 2026
>solo un MacBook y nada más
>la misma herramienta que tiene todo el mundo
>encontré este análisis el martes
>un tipo creó 17 habilidades con eso
>$312 al día
>casi $10K al mes
>no por programar
>no por alguna API secreta
>por un… https://t.co/RLA5n17gkk pic.twitter.com/fAzn6nclVv>I was using Claude like it was Google >just a MacBook and nothing else >the same tool everyone has >I found this analysis on Tuesday >a guy created 17 skills with it >$312 a day >almost $10K a month >not by programming >not by some secret API >with a habit
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eBay AI Falls Short on Structured Data Automation
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Rob's example: eBay's AI integration will spin a paragraph of text for an item you're listing, like a boardgame, but won't do "Take a photo of the object; we'll fill in the 30 structured data form fields you need to successfully sell something on eBay."
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Async Subagents: Non-blocking Event Loop Architecture
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Big release here! Async subagents will become more and more of a thing, as subagents get longer running and you don’t want to block the event loop
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Agent Term Overload: Automation vs. ML Investment Requirements
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The word "agent" is the most overloaded term in AI right now. Your backlog probably has 5-10 agent ideas. But one agent idea is a 6-week automation you can build with n8n. Another is a 6-month bet requiring a dedicated ML team. Putting them on the same spreadsheet and hoping
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Intelligent Closed-Loop Manufacturing Drives Efficiency and Sustainability
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Intelligent, closed-loop manufacturing processes drive efficiency, availability, and sustainability improvements.
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Custom Auth for Per-User Data Isolation in AI Deployment
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One deployment, isolated data per user. Add custom auth so every user gets their own scoped threads, runs, and conversation history — with per-user data isolation and role-based access using any auth provider. Full walkthrough: https://
youtu.be/DkNqgCz8cjE Docs: -
Jesse Genet Builds 11-Agent Stack for Homeschooling and Household Management
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Jesse Genet's agent stack for homeschooling and running her household with 4 kids under 6, via @a16z:
— The Rundown AI (@TheRundownAI) 14 avril 2026
11 OpenClaw agents on dedicated Mac Minis. Claude Code to build them. Obsidian for knowledge.
Claire is her AI chief of staff. Sylvie plans the curriculum. Cole writes code.… pic.twitter.com/zzuj3uYR4ZJesse Genet's agent stack for homeschooling and running her household with 4 kids under 6, via @a16z
: 11 OpenClaw agents on dedicated Mac Minis. Claude Code to build them. Obsidian for knowledge. Claire is her AI chief of staff. Sylvie plans the curriculum. Cole writes code. -
Build Sentry Automation Using Marketplace Templates
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Start building a Sentry automation with a template from our marketplace: