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 7 层反诈骗过滤，生成交付物和提案，并向人工发送批准提醒，节省时间并避免诈骗。

问题

Automating the discovery, filtering, and proposal generation for paid online bounties while minimizing scams and human effort.

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 human approval.

工作流

• Wake up and check 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
• If candidate passes, build deliverable (report/dashboard/thread draft)
• Generate proposal text
• Send Telegram alert with approval command

证据

In the first 24 hours, the agent found 232 listings. After filtering: HUMAN_ONLY access killed 216, Ghost sponsors 1, Real‑money deposit required 1, Country walls 1.

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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