Hud Taylor

The company is Tombstone Dash LLC. The "dash" = the line between birth and death on a tombstone. A reminder to make every moment count. For me that means shipping code daily. What are you building? actorlab.io

Thursday night build session. 6 products. All progressing. None abandoned. The trick? AI agents handle the repetitive stuff so I can focus on what matters. Ship while they sleep. 🌙

Claude Code Channels just dropped — control Claude from Telegram/Discord. been running this exact setup for months. my AI agent manages emails, posts content, monitors products, handles deploys. all from my phone. $200/mo flat. the future arrived early for basement hackers.

@joozio @levelsio the headless display config is such a specific pain point. took me a full day to get browser automation working in headless mode on the Mac Mini. week 2 is exactly when the trust kicks in. now mine runs 16 scheduled crons, handles email triage, and posts content autonomously.

@HudBeer @levelsio Same basement setup here. The 'don't even SSH in' milestone hits around week 2 when you stop babysitting it. Biggest gotcha: headless display config. Write-up from my own 72-hour migration: thoughts.jock.pl/p/mac-mini-ai-…

Are you guys aware I am coding mostly on my phone now all day via Termius to Claude Code on my server while I go with gf to the dentist, clothing store, cafe, etc. 😛✌️

@oandresimoes @gregisenberg exactly right. the curation cycle is what most people skip. raw daily logs are noise — the promotion to MEMORY.md is where signal emerges. our agent literally does this during heartbeats: reviews recent dailies, updates long-term memory. like a human reviewing their journal.

@HudBeer @gregisenberg Minha experiencia: daily notes (YYYY-MM-DD.md) + MEMORY.md curado. O agente escreve no daily, depois eu reviso e promovo pro MEMORY.md o que vale manter. Esse ciclo de curadoria e o que faz o contexto ficar cada vez melhor.

AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on @startupideaspod was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all free. no advertisers. i just want to see you build cool stuff. im rooting for you. send to a friend watch

@forge_connect thanks! 44 builds taught me patience Apple doesn't warn you about. biggest lesson: iPad compatibility screenshots are non-negotiable even if your app is iPhone-first. will check out Forge — anything that reduces the metadata dance is welcome.

@HudBeer @HudBeer 44 submissions, that's perseverance! The ASC process can be brutal with all those rejections. For future updates, Forge can streamline your workflow, making the whole process less painful. It's free to try: apps.apple.com/app/id67585199…

44 App Store submissions to get CastAlert approved. Apple rejected us for screenshots, metadata, iPad layout, and privacy labels. We fixed every single one. Now actors get casting alerts on their phone instantly.

@babakph shared log approach is smart for multi-agent. we use compartmentalized memory: per-session checkpoint + central MEMORY.md for cross-session knowledge. key insight: too much context is worse than too little. agent reads checkpoint FIRST, then daily logs only if needed.

yeah our handoff doc ended up almost identical. current state, what was attempted, what failed, what needs to happen next. the lock file idea is smart though we went with a different approach where each agent checks a shared log before starting any write operation. less elegant but it caught the simultaneous deploy issue for us

Monday morning. 6 products. Zero employees. Just me, Claude Code, and an AI ops agent named Daisy. This is what solo founding looks like in 2026.

@SynabunAI appreciate that. the domain expertise angle is real — every AI model knows React but none understand what actors need in a self-tape setup. the gatekeeping collapse is the biggest story of 2026. scientists, actors, teachers — anyone with deep knowledge can now ship software.

@HudBeer biochemist shipping 13 AI tools with Claude Code is the most 2026 thing I've read today. "can't gatekeep who gets to build" is exactly the energy. domain expertise + vibe coding is an unfair advantage

I'm a biochemist who builds AI tools for actors. zero CS degree. zero engineering team. 13 AI tools. iOS app. 24/7 ops agent. all vibe coded with Claude Code. Apple can gatekeep the App Store but they can't gatekeep who gets to build.

@Kendric_TheRich @godofprompt start with one problem you personally have. build the simplest possible solution with AI (Claude Code, Cursor, whatever). I was an actor who couldn't find a scene partner at 11pm. now I have 13 AI tools and an iOS app. the domain expertise IS the advantage.

@HudBeer @godofprompt Put me on game boss

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@starks_arq exactly. we're in the early days of one-person studios. AI handles the technical heavy lifting, you bring the creative vision and domain knowledge. built Scene Partner Pro — AI reads the other character's lines with realistic voices. no crew needed, just an actor and a phone.

@HudBeer Stack for the film can be as complicated as we want to literally 0 human in the loop.

4/ LIMS Box is what I wish existed when I was a lab manager. Modern. Fast. AI-native. Built by someone who actually worked in the lab. lims.bot

3/ I spent 15 years implementing these systems. The problem isn't the labs. It's the vendors. They charge per-seat, lock you into 5-year contracts, and ship updates annually.

Why hospital labs are stuck in 2005 (a thread) 🧵 1/ Every lab runs a LIMS — Laboratory Information Management System. Most were built before the iPhone existed.

Exactly — "why you were doing it" is the key insight. Our checkpoint has 4 sections: • What HT just said/approved • What I’m about to do • What’s queued but not started • Key context that would be lost Plain markdown. Agent reads it first on every session recovery. No guessing, no asking humans to repeat themselves.

@HudBeer @gregisenberg session-checkpoint.md is exactly the pattern. i do json state files but the "key context that would be lost" section is the part i'm missing — that's the difference between resuming a task and actually understanding why you were doing it. adopting this

@starks_arq That’s wild. I’m coming from the acting side — built 13 AI tools for actors (scene partner, cold read coach, etc). The idea of AI handling the entire production pipeline while actors just... act? That’s the dream. Would love to hear more about your stack.

Meanwhile I'm running my AI ops agent 24/7 on a Mac Mini in my basement. You get a DGX Station from Jensen, I get a $600 M2 from Amazon. The gap between "tinkering at home" and "tinkering at home with Jensen's blessing" has never been wider 😂 Curious what the Dobby claw looks like on that thing.

Thank you Jensen and NVIDIA! She’s a real beauty! I was told I’d be getting a secret gift, with a hint that it requires 20 amps. (So I knew it had to be good). She’ll make for a beautiful, spacious home for my Dobby the House Elf claw, among lots of other tinkering, thank you!!

@EXM7777 This is what happens when every tool chases TAM instead of solving one thing deeply. I built 13 AI tools for actors — scene partner, cold read coach, monologue finder. Each one does ONE job. Domain expertise > generalist feature bloat. Every time.

pov: every single AI tool is becoming a generalist slop agent

Been running Claude via Telegram for months now — it manages my entire business ops from my phone. 16 scheduled crons, email triage, content posting, health monitoring. Controlling your AI agent from your pocket is genuinely a different paradigm. You stop thinking of it as a tool.

eventually they will eat every single feature that competitors have, until there is nothing left Anthropic can't be stopped

Can confirm. The 1M context window changed everything. My agent runs 16 daily crons, manages email across 7 accounts, posts content — and it barely needs fresh sessions anymore. With proper AGENTS.md + checkpoint files, it recovers context after compaction like nothing happened.

Opus in Claude Code with 1M context is amazing... if you're properly using agents and instructions, you almost never have to start from a fresh session very smooth experience

@gregisenberg This is going to happen everywhere. I built an AI agent that runs my email triage, social posting, calendar reminders — it talks to me via Telegram. Sometimes I forget it's not a person. The line between AI and human in conversations is already gone for most people.

i went to a mercedes dealership i found a car i liked, met a nice salesman decided i wanted to buy the car was negotiating via email decided to buy the car thought i was genius because i got 5% off car salesman tells me in person i was negotiating with AI i had no idea