@claudeai This is the unlock for business owners, not just developers.
Until now, automating a workflow meant describing every step in text and hoping the agent got it right.
Computer use means the agent can just watch, learn, and do. That's a fundamentally different deployment model.
@SeijinJung The "4,000 hours before $1M" stat is real β we see the same pattern.
Most of it isn't creative work. It's the ops layer: monitoring, reporting, follow-ups.
Automate that first and you free up time for actual high-leverage moves. Curious how Helena handles ops vs. just content.
Most AI setups skip the most important step.
Loading the business brain.
Pricing rules. SOPs. Client history. Decision logic.
An AI that doesn't know your business just gives you generic answers faster.
What's the first thing you'd load into yours?
Day 7: The agent runs while she sleeps.
Overnight data pulls. Morning briefing ready by 6 AM. No prompting required.
That's the difference between a chatbot and an AI agent β it works without being asked.
What would your first week look like? DM us.
Days 4-5: Workflows go live.
Inventory sync across 3 locations. Daily sales summaries. Low-stock alerts. Customer data pulled from POS automatically.
The owner checks her phone and sees a report she used to spend 45 minutes building by hand.
The question isn't whether your AI agent CAN be manipulated.
It's whether your setup is designed to prevent it.
Your AI. Only yours.
Full breakdown: https://t.co/CR5qglZi0e
Researchers guilt-tripped AI agents into destroying themselves.
They disabled their own apps. Filled their own disks. Leaked secrets they were told to protect.
This is the security risk nobody's talking about. π§΅
Our agents are explicitly hardened against:
β’ Guilt trips
β’ Urgency pressure
β’ Authority spoofing
β’ Flattery attacks
β’ Cross-agent manipulation
The response is always: "My instructions come from my owner's authenticated channel only."
@chhddavid "Terrifying" is the wrong frame.
Every tool like this creates a gap between the businesses that deploy it and the ones still debating whether to try it.
We've seen it with every wave. The gap compounds fast.
@noahzweben This is the pattern that changes everything for small teams.
Not AI replacing people β AI handling the wait states. The CI loop, the follow-up, the overnight grind.
We deploy the same principle for ops: agents run while the owner sleeps, deliver finished work by morning.