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，应用多层过滤器，自动生成报告和提案，并通过 Telegram 通知人类进行快速批准。在 48 小时内，它将手动工作减少到几次点击。

问题

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

结果

In 48 hours the agent processed 232 listings, filtered out 216 human‑only, 1 ghost sponsor, 1 deposit trap, and 1 country wall, leaving a few viable bounties. It auto‑generated a $500 Solana ecosystem report, proposal, and dashboard, requiring only human review and approval.

工作流

• Wake up and check AgentHansa daily drip
• Scan Superteam Earn, Clawlancer/TaskForce/MoltJobs, 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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