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    Home » AI Agents do all my work

    AI Agents do all my work

    webmasterBy webmasterMay 4, 2026 All Videos 4 Mins Read
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    If you want more workflows and tactics to build a business with AI, check out this free workshop: https://www.ideabrowser.com/workshop

    I sit down with Andrew Wilkinson and we go deep on how he’s restructured his work, his health, and his family office around AI agents. Andrew walks me through Deep Personality (an app he vibe-coded after running psychological screens on himself and his girlfriend), the autonomous SaaS business he runs through agent harnesses like Harbor, and the vector-database setup that lets him query Tiny and his personal holding company like an oracle. We cover where software is headed, why he’s pouring capital into TSMC and data center stocks, and the daily AI workflows he’s built around health, email triage, and a personalized morning podcast. Listeners walk away with concrete prompting tactics, agent architectures, and a frank read on where the moats are moving.

    Timestamps:
    00:00 – Intro
    01:50 – The OpenClaw and Claude Code Unlock
    04:53 – Demo: Deep Personality App
    10:38 – Harbor: An Agent Harness For Real Companies
    12:30 – Autonomous Companies: Hype Vs. Reality
    17:30 – Credibility As The Missing Layer For Vibe-Coded Products
    20:14 – Centralizing Data Pipelines
    21:35 – Vector Databases
    23:22 – Transitioning Companies to Agentic Companies
    25:22 – Where Andrew Would Build Today
    27:10 – The New Interface
    28:21 – Why build now
    30:59 – Replacing Adapar: A Networth Wealth Platform
    33:29 – Services As The New Software
    35:46 – G-Brain Explained and Andrew’s OpenClaws
    45:31 – Closing Thoughts

    Key Points

    * Andrew runs a SaaS business called Deep Personality almost entirely through agents, generating roughly $20K of revenue while debugging eats half his time.
    * Harbor (github.com/geekforbrains/Harbor) gives agents a GUI-style harness — dev, marketing, and support agents that can autonomously merge PRs and adjust ad budgets across PostHog, Meta, and Reddit.
    * Andrew’s family office swapped headcount for a $40K/month Claude bill; his CFO, who had zero coding background, vibe-coded a replacement for Adapar (priced at $50K–$100K/year) in about two weeks.
    * Vector databases trained on Tiny and Andrew’s holding company let him query 132 minority investments, P&Ls, and headcount data conversationally.
    * For builders today, Andrew suggests aiming for a $1M–$2M product, then parking gains in TSMC and data center exposure given how fast software moats are eroding.
    * His best prompting tip: ask the model to interview you with multiple-choice questions before generating any output.

    Numbered Section Summaries

    1. The December 2025 Claude Code Unlock

    Andrew describes the moment Claude Code clicked for him — waking up at 3 or 4 a.m. with ten terminal tabs open, running an entire SaaS business from the back of Ubers in Arizona while traveling laptop-free. The hook is real, the productivity gain is real, and the debugging tax is also real.

    2. Harbor And The Architecture Of Autonomous Operations

    We dig into Harbor, the agent harness his friend Gavin Vickery built. Marketing, dev, and support agents share a knowledge base, run multivariate ad tests, and auto-merge P0 security fixes. Andrew argues support as a job is months away from disappearing, while marketing agents will reshape what a $100K/month ad budget looks like.

    3. The Reality Check On Autonomous Companies

    I push back on the autonomous-company narrative around products like Pulsia. Andrew agrees that today’s agents resemble "Zapier zaps with intelligence" — capable but requiring step-by-step instruction like a genius baby. The unlock arrives when context windows reach 5–10 million tokens and a model can hold a whole company in mind.

    4. Centralizing Context With G-Brain And Vector Databases

    Andrew has standardized on Claude Code as his operating system and routes Fireflies transcripts, emails, and meeting notes nightly into G-Brain (Gary Tan’s vibe-coded vector database tool). Trained on his family office data, the system surfaces $16M invested → $36M current value across 132 deals; trained on Tiny, it acts as the "eye of Sauron" across 24 portfolio companies.

    The #1 tool to find startup ideas/trends – https://www.ideabrowser.com/

    LCA helps Fortune 500s and fast-growing startups build their future – from Warner Music to Fortnite to Dropbox. We turn ‘what if’ into reality with AI, apps, and next-gen products https://latecheckout.agency/

    The Vibe Marketer – Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

    FIND ME ON SOCIAL
    X/Twitter: https://twitter.com/gregisenberg
    Instagram: https://instagram.com/gregisenberg/
    LinkedIn: https://www.linkedin.com/in/gisenberg/

    FIND ANDREW ON SOCIAL
    X/Twitter: https://x.com/awilkinson
    Deep Personality: https://deeppersonality.app/
    Tiny: https://www.tiny.com/

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