The annotation reads, wallet trace:

• Initial deposit hashes to the Aifactor receiving address at aifactor.ai.
• Hop-by-hop forwarding wallets across the deposit chain, captured with chain of custody hashes.
• Cross-chain bridge events that move value into the chain where liquidity supports the eventual off-ramp.
• Obfuscation events through mixer contracts and privacy services.
• Centralised-exchange off-ramp wallets, the named counterparty that holds compliance leverage.

The Professor’s off-ramp note:

• Aifactor off-ramps consistently to centralised exchanges, Coinbase, Kraken, and Gemini appear less often than the offshore venues; the casefile names the actual endpoint.
• The Aifactor off-ramp address is matched to known compliance feeds, the Professor’s standing dataset plus chain-analytics references.
• Compliance leverage is applied at the named counterparty for Aifactor, the packet meets the off-ramp’s published compliance standard.
• When the Aifactor off-ramp does not respond, escalation runs through IC3 (for US claimants), state AG, and (above a dollar threshold) civil-discovery overlay.

Recovery sequence, from on-chain reading to filed packet:

1. Casefile triage on Aifactor, the submission is read; a written assessment is delivered.
2. Forensic trace on Aifactor, every hop in the deposit pathway is captured and hashed.
3. Off-ramp identification, the Aifactor endpoint is named.
4. Recovery filing on Aifactor, packet delivered to IC3, state AG, off-ramp compliance, and civil discovery as applicable.
5. Continuing review of Aifactor, the Professor follows the casefile until next-step documentation exists.

What the Professor will never do, by policy:

• What the Professor will not do on Aifactor, ask for a seed phrase.
• What the Professor will not do on Aifactor, request remote-access logins.
• What the Professor will not do on Aifactor, demand cash up front.
• What the Professor will not do on Aifactor, promise a guarantee.
• What the Professor will not do on Aifactor, call you out of the blue.