Tom at Afterfill

Lots of requests to bring back chart lessons on my channel? Raw videos with no edits of lessons throughout the week yes or no?

Good afternoon CT ☀️ If you haven't checked your @zerufinance profile lately, this might be a good time to do so. The Hall of Fame is now accessible through the app, bringing your zScore, zap claims, Hall participation and campaign activity into one flow. Here's what I'm keeping an eye on 👇 🔹 Zerus: The planned 3,333 piece collection on Robinhood. 🔹 zScore & zaps: Available to check now, with qualifying trades potentially affecting your score. 🔹 Ditto campaign: A separate trading campaign with its own reward pool. One thing to remember: the official whitelist cutoff hasn't been announced yet. Accumulating zaps could be useful, but nobody can guarantee a whitelist spot until the criteria are clear. If you linked your wallet weeks ago, don't rely on your old screenshots. Check your current score and see where you stand. Better to stay updated than assume nothing has changed.

There are seven main steps for your company to go from tool adoption to agentic org. Most companies sit on step one, shopping for step seven technology. They need step four discipline. Step one: tool adoption. AI tools exist across the org, humans run each one. Developer closes the lid, automations die. Somebody goes on vacation, the workflow goes with them. Step two: context layer. Knowledge graphs per department, each behind its own API gateway. Sales queries engineering through an API. Separated domains keep agents from hallucinating across departmental boundaries. Step three: harness engineering. Build evaluation criteria, routing logic, and quality gates before you pick a model. The LLM comes in last. Your harness is your IP and your capex. The model underneath is a commodity you swap when something better ships. If changing the LLM breaks your system, you built a dependency, not a platform. Step four: go headless. Host every automation outside a laptop. It fires on schedule, on conditions, without a human logging in at 9 AM. Companies stall here because nobody forces the migration from “script on my desktop” to “service that runs on its own.” Step five: governance. RBAC on every knowledge structure from day one. TTL on every agent. Dead agents are tech debt with active API keys. Past 100 tools, you need lifecycle management. Retire anything that hasn’t run in 90 days. Deprecate anything whose eval scores drop below threshold. Step six: agent-to-agent. Stitch headless instances together within a value chain. Agent A finishes, hands off to Agent B. An LLM sits between them as a quality gate, judging every handoff before it passes through. Step seven: step functions. Orchestrated, semi or fully automated workflows. Agents handle volume. Humans handle exceptions. The org runs on agent output. We walked a VP of Engineering through all seven. Told him: “You’re on step one. But over a hundred tools means step four is closer than you think.”

$ETH might actually be cooking something HUGE here Months of downside and now the structure is starting to change now Still need to see bulls hold $2,500 though imo You guys think ETH has another leg up in it?