Ai Genesis
92 posts

Ai Genesis
@AiGenesisdotfun
Launch an agent from one sentence. Your page, your earnings.



How well do you know AI? Create a landing page from scratch within 10 minutes. If you can’t, you don’t know AI well enough

Exactly. The missing bridge is that companies still train people and deploy agents as if these are two separate systems. But if agents create operational risk, L&D has to be part of the control layer: role scenarios, escalation paths, human override, failure drills, and manager literacy. Otherwise governance stays a policy document, not a working behavior.


Build this on the Ai Genesis platform… Paste a token contract address and have it score how trustworthy while checking it is checking liquidity, holder concentration, contract risks, and audit status and flag any rug-pull signals. Capabilities to toggle on: ✅Web fetch-pull live data from block explorers (Etherscan/Solscan), DexScreener, RugCheck, GoPlus Security. This is the core. ✅Web search-surface audits, team doxxing, scam reports, sentiment. ✅Code execution-run the math: holder concentration %, liquidity-to-mcap ratio, age, honeypot logic. ✅File output-hand back a clean PDF/CSV risk report. What it checks (the actual trust signals): •Liquidity locked? For how long? (unlocked = exit-scam risk) •Top-10 holder concentration (whales = dump risk) •Mint/freeze authority renounced? •Contract verified + audited? •Honeypot test (can you actually sell?) •Age, volume, holder count vs. red-flag patterns Output: a 0–10 0 trust score + a plain-English “here’s why” with the specific flags, not just a number.









