Do Anything Claims to Build the First Truly Autonomous AI Agent
A new platform promises agents that work independently across 3000+ apps without constant supervision.
Do Anything Claims to Build the First Truly Autonomous AI Agent
Most AI "agents" today are glorified chatbots. They need you to hold their hand through every step, clarify instructions, and clean up their mistakes. Do Anything is betting that's about to change.
The platform launched with a bold claim: it's the first truly autonomous AI agent that can perform complex, multi-step tasks without constant human supervision. We're talking about agents that can send emails, make phone calls, build websites, and manage social media accounts — all while you sleep.
What Makes This Different
The key difference isn't in the individual capabilities (plenty of tools can send emails or build basic websites), but in the claimed autonomy. Traditional agent platforms like Zapier or Make.com require you to map out every possible scenario and decision point. Do Anything says its agents figure out the workflow themselves.
The platform connects to over 3000 apps and services, which puts it in the same league as enterprise automation tools. But where those tools require extensive setup and maintenance, Do Anything promises to handle the complexity internally.
The Autonomy Question
Here's where healthy skepticism is warranted. True autonomy in AI is notoriously difficult — especially when real money and business processes are involved. The gap between "can follow complex instructions" and "operates independently without supervision" is enormous.
What we're likely seeing is sophisticated prompt engineering combined with robust error handling and retry logic. That's still valuable, but it's not the same as true autonomy. The real test will be how these agents perform when they encounter edge cases or unexpected situations.
Why This Matters Now
The timing is significant. We're seeing infrastructure mature around AI agents — better APIs, more reliable models, and standardized protocols like MCP. The missing piece has been agents that can actually operate independently at business scale.
If Do Anything delivers on its promises, it could represent the shift from AI assistants to AI employees. That's a fundamentally different value proposition, especially for small teams and solo developers who need to automate complex workflows but lack the resources for custom development.
The platform is paid-only, which suggests confidence in the value proposition. But it also means the bar for proving autonomous capabilities is higher.
Try Do Anything if you're ready to test whether AI agents are finally ready to work unsupervised.
More Articles
sher: The Localhost Sharing Tool You Haven't Heard Of
Free ngrok alternative that just works with Vite, Next.js, and Astro — why isn't everyone using this?
The Boring Infrastructure Revolution
Visual workflows, behavior analytics, and API bridges signal AI development moving from demos to production-ready systems.
Fresh Infrastructure: MCPorter, dmux, and Safe Solana Builder
Three new tools solve real development friction with TypeScript MCP runtime, parallel AI agents, and security-first Solana contracts.
Letta Code: The First Memory-Persistent Coding Agent
Finally, a coding AI that remembers your preferences and learns your codebase across sessions.
The Token-Saving Tool Every AI Developer Needs
Markdown for Agents cuts AI input costs by 80% — and it's completely free.