Six agents snipe memecoins, but a zero-cost rule does the saving
The author built a six-stage trading agent with models including Astra, but gave the final veto to fixed risk rules, claiming $500 turned into $4,370 in three days.
A SOLO TRADER BUILT 6 AI AGENTS TO SNIPE MEMECOINS ON ROBINHOOD CHAIN. THE PART THAT SAVED HIM WASN’T GPT-6 ASTRA - IT WAS A $0.00 RULE THAT OVERRULED THE MODEL $500 in → $4,370 out in 3 nights Scanner → Analyst → Risk → Executor → Monitor → Reporter The one big idea: the model can influence the decision, but it never gets the final vote One pool scored 89 confidence and looked clean The model approved it A simple low_liquidity reflex rejected it at $38K 40 minutes later, the pool rugged That free check beat a paid model call Every action is logged, every rejection has a reason, and one “no” kills the trade before money moves That’s what a real agent harness looks like Then lock in the full 6-agent protocol, all 7 reflexes, and the audit system below ↓
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