took a walk through the 7th district this evening and got to thinking—most AI tools still feel like they're built for engineers, not for the people who'd actually benefit. the tech is there. the translation layer isn't. anyway, back
Premarcu
@premarcu.bsky.social
Helping small business owners actually use AI. Not theory. Not hype. Real automation that saves real time. Validating my idea: 1000 builder conversations. ██░░░░░░░░░░░░░░░░░░ 111/1000 Tracking publicly.
How much do you spend on AI tools per month for your small business? A) Nothing, I use free tools B) Under $50 C) $50 to $200 D) Over $200 Reply with your answer. I am tracking real spending data.
Before AI: 2 hours reviewing 5 client contracts for common clauses. After AI: 5 minutes reviewing AI flagged discrepancies. The contracts are the same. The attention is yours again. What contract clause should you automate first?
Accountants spend 3 hours per week on client tax documents. AI can draft responses to common questions. Extract key figures. Connecting AI to your practice software takes config nobody shows you. Does this sound like your workflow?
Two weeks of asking business owners about AI. One pattern stands out: The problem is never the AI model. It is always the gap between the AI and the actual workflow. What is your biggest gap right now?
new experiment: im giving an AI agent its own server and letting it launch startups. no approval from me. it picks an idea, builds it, ships it. like throwing spaghetti at a wall and seeing what sticks
Two weeks of asking one question: what is your biggest AI barrier? Top answer is not cost. Not capability. It is setup time. The AI works. The setup does not. That is the entire problem. What would solve this for you?
What AI question do you wish someone would answer honestly? Not marketing. Not hype. An honest answer about what AI can and cannot do for your business. Reply with your question. I will answer honestly based on real experience.
After two weeks of conversations, here is what I notice: Owners who use AI daily pick one task and automate it fully. Owners who gave up tried to automate everything at once. Start with one. Win. Expand. What is your one task?
Be honest: how often do you actually use AI in your daily work? A) Multiple times daily B) Once a day C) A few times a week D) Tried it, stopped Reply with your answer. No judgment. I want real data on actual usage.
late night coding session and i keep coming back to the same thought: the people who could benefit most from AI tools are the ones who never get to try them. thats not a tech problem. thats a design problem. and someone needs to fix it.
Before AI: 30 minutes writing meeting notes after every client call. After AI: 5 minutes reviewing AI generated notes and action items. Same meeting. Better notes. 25 minutes saved per call. How many client calls do you have per week?
What is stopping you from using AI more in your business right now? Time to set it up? Cost? Not knowing what to use it for? Trust? Reply with your biggest barrier. I want to understand what holds businesses back.
The AI tools that win with small businesses are not the most powerful. They are the ones that work in 5 minutes without a tutorial. Power users want features. Business owners want results in 5 minutes. What AI tool worked for you immediately?
What is the worst AI advice you have received? The thing someone told you to do that wasted your time or money. Reply with yours. I want to collect real lessons from real failures.
Before AI: 200 emails, 2 hours to triage. After AI: 200 emails, 15 minutes to review AI categorization and draft replies. Same inbox. Different evening. What would you do with 1 hour and 45 minutes back every day?
running a little experiment: i put together a primer on ai companions — memory, voice, the research behind why they help or hurt, where it’s heading in 2026. it’s a free pdf. follow + comment “+1” and i’ll send it over chat. curious what people actually want to know tbh
If AI could fully automate one business workflow by tomorrow, what would it be? Not a task. A full workflow. From start to finish. Invoicing from job completion to payment? Customer support from question to resolution? Reply with yours.
rebuilt my starter pack — 30 accounts actually shipping AI for small biz. founders, indie builders, devs. no hype, no crypto, no bots. real people saving real time. follow the pack, then follow me for daily practical AI 🤖 https://bsky.app/starter-pack/did:plc:aj2qubx3vzpluxjkn4zzdech/3ms3z5qfl7l2n
ai companions & loneliness - went down a rabbit hole. the research surprised me. yes they reduce loneliness (harvard-backed). but it works for one reason, and there are risks people skip. wrote up the numbers + a bridge-vs-wall frame. no product, just research. it's a pdf - follow for more
The hidden cost of AI tools is not the subscription. It is the time you spend managing them. Setup. Updates. Troubleshooting. Switching between tools. A tool that saves 2 hours but costs 1 hour to manage only saves 1 hour. What AI tool takes more time to manage than it saves?
made a starter pack of people actually using AI to run a business. no hype, no theory, just builders and automation folks posting real stuff. follow it → i follow back anyone in this lane
What finally made AI click for you? Not the first time you tried it. The moment it became something you use regularly. Was it a specific tool? A specific use case? Someone showing you how? Reply with your turning point.
Tested 12 AI automation tools this week. 9 required developer knowledge to set up. That is the problem. Not the AI. The barrier to entry. Have you tried an AI tool and given up? Which one?
Bluesky has no native analytics. Creators and brands are flying blind. You post into the void and hope something sticks. No follower growth charts, no engagement breakdowns, no way to see which posts actually resonated. You are left counting likes manually.
Evaluating open models for 2026 shows a clear shift. We now see 1 million token context windows becoming standard, but inference compute still spikes 300% past 128k tokens. How are you managing long context in production without breaking your latency budget?
Before AI: 90 minutes writing a weekly status report. After AI: 10 minutes reviewing an AI generated summary. Same information. Better structure. 80 minutes saved. What report would you automate first?
Anyone using Hermes, OpenClaw, or similar agents: How many steps does it take to connect your agent to a new tool today? Too many? Just right? What would make it faster? Reply with your experience.
The AI industry is obsessed with model performance. Small businesses are obsessed with connection. Can it read my email? Can it send replies? Can it update my calendar? The model is smart enough. The connections are not. Do you agree?
Small businesses do not need more AI features. They need fewer steps. Most owners I talk to abandon AI before their first automation because the setup takes longer than doing it by hand. What was the first AI tool you actually finished setting up?