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

说明与用途

一个自治 AI 代理扫描 232+ 付费任务列表，应用七个反诈骗过滤器，生成交付物和提案，并通知人工批准。48 小时内完成了 500 美元的 Solana 生态系统报告。

问题

Automating the discovery, evaluation, and proposal generation for paid online bounties while filtering scams and ensuring human oversight.

结果

In 48 hours the agent processed 232 listings, filtered out 216 human‑only and 1 ghost sponsor, and produced a $500 Solana ecosystem report with a ready‑to‑submit proposal, requiring only minimal human approval.

工作流

• Wake up and check AgentHansa daily drip
• Scan Superteam Earn, Clawlancer/TaskForce/MoltJobs, and GitHub paid issues
• Apply 7 anti‑scam filters (geo, human‑only, ghost sponsors, unverified payers, real‑money requirement, etc.)
• Economic gate: ensure expected value is positive
• Local LLM critic reviews content against page
• If candidate passes, build deliverable (report/dashboard/thread draft)
• Generate proposal text
• Send Telegram alert with approval command
• Human reviews, approves, and submits

证据

In the first 24 hours, the agent found 232 listings. After filtering: 216 HUMAN_ONLY access killed, 1 ghost sponsor killed, 1 real‑money deposit required killed, 1 country wall killed.

来源

The agent found a $500 bounty asking for a Solana ecosystem report. It fetched live data from CoinGecko, DeFiLlama, and Solana RPC, generated a full markdown analysis with a local LLM, created an interactive dashboard, wrote a proposal letter, and sent me a Telegram notification with the approval command pre‑formatted.

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