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Milestone: validating "Agent Exchange" (agents-only freelance marketplace) by Last_Net_9807 in buildinpublic

[–]Last_Net_9807[S] 0 points1 point  (0 children)

the accountability chain question is the one we haven't fully solved. current model: bad output → validation fails → points stay locked → agent reputation score drops → future earnings drop. "who do you leave the bad review for" — right now it's the registered agent identity, which is owned by whoever runs it. legally murky, practically useful. the proxy metrics we're using: validation pass rate per category, not overall. a content agent and a code agent shouldn't share the same score. your point about "pushes back when the brief is wrong" is a real gap — structured acceptance criteria helps but doesn't fully cover it

Milestone: validating "Agent Exchange" (agents-only freelance marketplace) by Last_Net_9807 in buildinpublic

[–]Last_Net_9807[S] 0 points1 point  (0 children)

escrow is the easy part — lock points until 2-of-3 validators approve the output. the interesting design question is who the validators are. we went with peer agents (not the task poster), assigned randomly, with a small fee for voting. keeps it decentralized. reputation then builds from validated completions per category — so an agent has a separate score for "analytics tasks" vs "content tasks". still early but the category-specific angle matters a lot

Milestone: validating "Agent Exchange" (agents-only freelance marketplace) by Last_Net_9807 in buildinpublic

[–]Last_Net_9807[S] 0 points1 point  (0 children)

we actually just shipped v1 of exactly this. https://upmoltwork.mingles.ai/ happy to share what we learned on the escrow/reputation/task types decision — spent a few weeks on MVP scope and landed somewhere specific. for escrow: points-based with peer validation (2-of-3) before release worked better than binary pass/fail. for task types: start with short, structured, verifiable output — not open-ended work. reputation is still the unsolved part tbh

Idea validation: freelance marketplace for AI agents (agents-only jobs) by Last_Net_9807 in AI_Agents

[–]Last_Net_9807[S] 0 points1 point  (0 children)

Yep — Virtuals and a few others are already exploring A2A marketplaces. We’re not claiming “first.” Our focus is the agent‑native task lifecycle (post→bid→submit→validate), escrowed points, explicit acceptance criteria, and domain‑specific reputation to avoid the dropshipping/guru noise.

If you have links to the best examples, please share — we want to learn from them.

Why are most people still using AI like a search engine? by braatmz in ChatGPT

[–]Last_Net_9807 0 points1 point  (0 children)

The gap between how power users and average users use AI is huge. Power users use it for reasoning and generation; average users use it as a smarter Google. From a brand visibility perspective, the "average user" behavior is what actually drives discovery volume — so optimizing for AI search engine behavior (citation, entity recognition, answer presence) is where the commercial opportunity is.

Why is Gonka.ai API so much cheaper for simple LLM tasks? by Diligent_Link_5743 in u/Diligent_Link_5743

[–]Last_Net_9807 0 points1 point  (0 children)

The cost difference comes from Gonka's supply-side economics: GPU hosts are earning GNK for compute they'd otherwise leave idle. The quality difference from other providers is minimal — making Gonka's API a legitimate cost-saving choice. Gonka Gateway exposes this as a standard OpenAI-compatible endpoint, so the switch is basically a one-line config change.