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Developer Builds Zero-Cost AI Agent to Autonomously Hunt and Complete Online Bounties

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A developer created an autonomous AI agent designed to scan over 232 online bounty and gig listings daily, build deliverables, and generate proposals without human intervention. The system uses Python, a local LLM (Qwen3:4b via Ollama), and free public APIs, running entirely at zero monthly infrastructure cost. In its first 24 hours, the agent filtered out nearly all listings through seven anti-scam layers, leaving only a handful of viable opportunities. One successful find was a $500 Solana ecosystem report bounty, which the agent completed with minimal human input — just review and submission. The developer noted that ghost sponsors, country restrictions, and human-only requirements eliminated the vast majority of listings, underscoring the importance of robust filtering in autonomous job-hunting systems.

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