May 6 (edited) • Announcements
What do you think is possible with AI Agents?
My LinkedIn timeline is filled with Claude Code posts. However, I find that everyone mainly focuses on the HOWs, but no one is really explaining WHY and what all of this means from a Strategic Level.
As more information gets thrown at you, it becomes increasingly imperative to have a system to fact-check and condense noise into understanding.
> Falsification over Trust
Agents are built for Delegated Thinking, but you cannot Delegate Understanding; that's a Human-only task. This means even with the best AI models, your biggest bottleneck is still your mind.
What do you think is possible?
> Clear thinking = Agent outcome.
You need a System per Quadrant (Team, Revenue, Personal, Career) for executive decisions. Here is some food for thought:
> Quadrant: the abstraction of things that affect your daily life (team, job, goals)
> Plugins: Each Quadrant can be a "plugin" that has a collection of skills
> Skills: Repeatable steps towards an outcome/goal (revenue, team, daily tasks)
> Tools: What is changing in the real world that Agents need to know? (MCP)
> Context: Prompting costs money, so keep context succinct but dense
> Preplan Deterministic vs Non-Deterministic steps before agent delegation
> Hooks work best for tracing and governing Non-Deterministic Agent steps
Action: Build a habit of pointing your Agent to anything you consume, fact-check what to keep vs cut, then use the AskUserQuestionTool to personalize the extracted knowledge to a Quadrant you actually care about.
I believe this is how the Top 1% are using AI to work for them
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What do you think is possible with AI Agents?
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