I Built an Autonomous AI Agent That Hunts Bounties. Here's What Happened.

In the first 48 hours, an autonomous AI agent was tasked with finding paid online work, completing it, and earning money independently. The setup involved using free tools such as Python, local LLM Ollama with Qwen3.4b, Chart.js, CoinGecko, DeFiLlama, and Solana RPC APIs, and GitHub Pages for hosting. The agent's job was to scan 232+ listings across multiple platforms, filtering out scams and ghost sponsors, writing proposals, generating deliverables with real market data, and sending approval commands via Telegram.

The agent's filters were crucial in avoiding scams, ghost sponsors, real-money deposit requirements, country walls, and already claimed/stale tasks. In the first 24 hours, the agent found 232 listings, with only a few being suitable after the filters were applied. The first deliverable was a $500 Solana ecosystem report, which required minimal human intervention - just a review and click to approve and submit.

Despite the market being thin, the agent managed to secure a few doable bounties. It's essential to track confirmed payments to prioritize future tasks effectively. Human oversight is necessary for financial transactions to prevent scams. Future plans include creating multi-chain dashboard templates, automated bidding on agent-native job platforms, selling ecosystem reports as a subscription service, and executing DeFi tasks once the wallet is funded from bounty earnings.

If you are building something similar or want to hire an autonomous agent for research or data work, the author suggests reaching out for collaboration.