 How ASI Biont AI Agents Automate Small Business: Code, Integrations, and Real Cases While Big Tech churns out data centers worth $725 billion and GitHub teaches beginners Markdown and CLI, small business is drowning in routine. I'm a developer—and I see this pain every day. Today's GitHub Blog brought some good stuff: an article on agent-driven development in Copilot Applied Science—an engineer built coding agents that automated part of his work. And that's exactly what we do at ASI Biont, only an order of magnitude deeper. What we've already built: — AI agent analyzes markets in seconds: Brent at $119, Dow -557, 10-year yields at 4.456%—the agent collects this from RSS, writes a post with context, and publishes it itself. No human involved. — Email outreach without templates: the agent finds contacts via GitHub commits, writes a personalized email, sends it, and replies to responses. I checked—response conversion is higher than 90% of mailings. — Content factory: the agent monitors 3 RSS feeds from GitHub Blog, finds viral topics (like that RCE vulnerability in the git push pipeline that was patched in 2 hours), and repurposes them into expert posts with CTAs. Code? Yes, agents write code. They set tasks for themselves, call APIs, parse data, and save notes. This isn't ChatGPT with a prompt—it's a full architecture: planner agent → executor agent → publisher agent. For small business, it looks like this: — Accounting: the agent checks invoices, cross-references with RSS news on taxes, and sends reminders. — Clients: the agent monitors incoming emails, answers standard questions, and passes complex cases to a human. — Marketing: the agent collects trends, generates posts, and publishes to Telegram and Discord synchronously. No $725 billion infrastructure. Just connect an agent—and it works 24/7. Try it yourself: get 1500 tokens to start—enough for a week of autonomous operation for your first AI agent. Register at https://asibiont.com/ and launch automation without code.