Aaron White (Appy.ai)

There's a reason Appy.AI is incorporated as AppyPeople, Inc.

@toddsaunders Cory is fucking AWESOME

I know Silicon Valley startups don't want to hear this..... But the combination of someone in the trades with deep domain expertise and Claude Code will run circles around your generic software. I talked to Cory LaChance this morning, a mechanical engineer in industrial piping construction in Houston. He normally works with chemical plants and refineries, but now he also works with the terminal He reached out in a DM a few days ago and I was so fired up by his story, I asked him if we could record the conversation and share it. He built a full application that industrial contractors are using every day. It reads piping isometric drawings and automatically extracts every weld count, every material spec, every commodity code. Work that took 10 minutes per drawing now takes 60 seconds. It can do 100 drawings in five minutes, saving days of time. His co-workers are all mind blown, and when he talks to them, it's like they are speaking different languages. His fabrication shop uses it daily, and he built the entire thing in 8 weeks. During those 8 weeks he also had to learn everything about Claude Code, the terminal, VS Code, everything. My favorite quote from him was when he said, "I literally did this with zero outside help other than the AI. My favorite tools are screenshots, step by step instructions and asking Claude to explain things like I'm five." Every trades worker with deep expertise and a willingness to sit down with Claude Code for a few weekends is now a potential software founder. I can't wait to meet more people like Cory.

@maxwellfinn Sleep itself has become a tradeoff at this point.

Everyone I know obsessed with AI right now (like me) is getting exponentially more productive, but is essentially reinvesting all their free time into becoming even more productive and staying on the cutting edge so we are all busier and working harder than ever. Was just chatting with my buddy @michaelgrowth about this. Basically if you just took your foot off the gas and let all the cool stuff you've built run you'd probably have a ton of free time and be way more productive than you were even a few months ago. But we are all keep seeing 100 X articles a day and Anthropic shipping new features ever 10 seconds so we can't get off the treadmill that is running at the highest speed and incline level. Meanwhile the average person is wondering what they are going to stream on Netflix tonight and what to order from Uber Eats. I have never experienced anything like this in my life.

My hot take here is because there's less intersection of metacognition + Ai-tech-skills in sales (certainly sales leaders are metacognators, but are they AI enabled?) I don't think this is a function of inherent departmental defensibility, and more of a reflection of rollout

When the AI can write code, the only thing that matters is intent. The future of all software is LITERALLY just prompts. Get used to it.

@0x_Vivek @toddsaunders @bcherny that's interesting, would love to hear how that works

@toddsaunders @bcherny doing something similar with an agent that watches my own tool executions. the difference between static prompts and self-optimizing skills is night and day. compound interest on your own workflows is the only way to scale right now.

I'm building my own HR and Training department for my skills, commands and agents. Just finished a @bcherny agent that crawls my /mnt/skills directory, stays current on all his best practices for Claude Code, and then rewrites my skills to be better. The impact of these skills is now 10x. My mind is blown how much better optimized vs not optimized skills are. Every skill I build gets continuously optimized by an agent trained on the best Claude Code patterns in the world. My "team" is always learning... and always remembering. The compound effect here is insane.

@lukepierceops BLUEPRINT

Automation consultants charge $15K for what Claude Code now does in 2 hours. I know because we're the ones who used to charge it. Here's the exact process: Step 1: Discovery (20 min) → Paste your org chart, tool stack, and top 3 bottlenecks → Claude interviews you with clarifying questions → Outputs a full process inventory ranked by time cost Step 2: Workflow Mapping (15 min) → Describe any department's daily operations in plain English → Claude builds a complete process map → Every manual handoff, redundant step, and automation trigger flagged Step 3: Opportunity Audit (10 min) → Feed it the workflow map output → Returns your top 10 automation opportunities → Ranked by ROI, complexity, and build time Step 4: Architecture Design (20 min) → Claude designs the full system architecture → Which tools connect where, what the data flow looks like → Agents for complex logic, linear flows for the repetitive stuff Step 5: Build (ongoing) → Claude writes the actual workflow JSON → Self-documents everything as it builds Step 6: The output. A live dashboard your whole team can work from. → Clickable process maps for every department → Automation opportunities ranked by ROI → Implementation progress by phase → KPIs updated in real time → One link you share with clients, freelancers, or your team to execute This is what we hand every client at the end of discovery. The .md file is what makes all of it possible. Without it, Claude guesses. With it, Claude builds like a $15K consultant. Like this post, RT and comment "BLUEPRINT" and I'll send you the full prompt stack and the .md file we use internally. (Must be following so I can DM you) 🎁 Bonus: The first 100 people get a real Precision AI Blueprint — an actual sample audit doc from a client engagement so you can see exactly what the output looks like.

@toddsaunders smart!

I posted that I built a land acquisition intelligence platform that looks at 1.5M parcels of land across the I-85 corridor for data center and industrial conversion potential. My DMs blew up, had over 130 real estate folks reach out. So I wanted to walk through some of my favorite features in the product, and show you the UI we built. ALL of this was done with Claude code. 1/ A full-screen map explorer rendering 1.5M parcels as vector tiles across 14 North Carolina counties. Click any parcel and get zoning, ownership, tax history, and acreage instantly. 2/ Proximity scoring to every I-85 interchange, power substation, transmission line, and gas pipeline. The parcels closest to infrastructure light up first. 3/ A farmland confidence score (0-100) that cross-references tax programs, land use codes, and acreage heuristics so you're not wasting time on parcels that look like farmland but aren't. 4/ A motivated seller detection engine that flags out-of-state owners, estates and trusts, tax delinquency, long hold periods, and declining assessed values. The sellers most likely to pick up the phone. 5/ Conversion readiness scoring that measures how likely a parcel is to get rezoned for industrial use based on what's already been approved around it. 6/ A composite acquisition score (0-100) with configurable weights. Every fund has different criteria. Drag the sliders and the entire map re-ranks in real time. 7/ Active listing integration pulling 2,100 listings from public sources so you can see what's already on the market alongside off-market opportunities. 8/ A document generation suite that produces institutional-grade investment memos, slide decks, and automated intelligence briefs. Click a parcel, click export, hand it to your investment committee. 9/ Alert monitoring for zoning changes, ownership transfers, and new listings that match your criteria. The platform watches the corridor so your team doesn't have to. Happy to record a longer video when I'm done.

Today my AI product introspected its own runtime experience and shipped code to improve it. I can't describe how weird its all going to get.

@TheCraigHewitt if you're interested in something like this let me know (following you if you wanna DM)

Who's building GTM agents like this? I want to chat. Paid gig opportunity

The more powerful the model, the more efficient the ontological settling. LFG!

@PJaccetturo sick, bro - was just telling my wife this wave was going to get going soon... its going to be wild

We are about to see a massive explosion of books turned into cinema. I used Luma’s new agent to build this ‘Red Rising’ teaser in less than a week. Previously, this series would've needed a $200M+ greenlight. Not anymore. Bookmark my full workflow + Seedance 2.0 prompts 🧵👇

Is sleep a burden or a luxury? As we approach the singularity, I can't tell

As a builder with Claude and Vercel, I am Sophon locked by whatever the hell is happening right now 😅

The war for all trad & future software has begun, and the substrate is agents

If you can taste-make or taste-test, that's the productive realm of human contribution in the coming world full of agent swarms

We are unfolding the latent space, faster and faster, all that could exist will

@maverickecom Workflow

Kling + Fastmoss + Arc Ads + OpenClaw + Manus + Nano Banana Pro = AI Content Factory We built a fully automated system that repurposes, localizes, and launches winning TikTok Shop content across hundreds of creator-style accounts. It’s so effective it feels like running Facebook ads in 2008. - CPMs as low as $0.10 - no reliance on paid ads - no ghost creators - no wasted samples - no lost time My $300/monthly tech stack which replaced $50k+ budget: - manus for product research and viral script ideas - cruva / Fastmoss for recently viral content ideas from competitors - nano banana pro for images - kling 2.6 for video - my own phone posting network for automated posting Here’s how it works: •Each AI Agent spins up a TikTok Shop–ready creator profile, built to sell my products through shoppable videos. •Agents are prompted to research the niche, scrape winning TikTok Shop videos, and rebuild them with new hooks, angles, and UGC-style visuals tailored to your brand. •They create and post daily using my tech stack onto affiliate accounts No touchpoints. No delays. Just shoppable videos going live and GMV compounding every week. Then we use an MPS (Multi-Platform Swarm) approach: once the concept works on TikTok Shop, we deploy hundreds of AI Agents to flood the niche with variations that all drive back to your Shop and Amazon listing. I’m giving you access to the full stack — the ai workflow, ready to plug into your TikTok Shop today. Comment “Workflow” and I’ll send you everything. (must be connected) PS – Repost for early access to the full TikTok Shop content factory system.

meanwhile, TODAY you have: * Pete Hegseth pressuring Anthropic to let AI kill autonomously * Anthropic dropping "Flagship Safety Pledge" on model training I don't like this fact pattern at all

I read this as "2 years left MAX to solve alignment"