The AI ladder
Before chasing better models, figure out which level of AI your work actually needs.
There are different levels to using AI, and it is useful to identify them because not every use case needs the same level.
Let’s define the levels first.
Level 1: Chat
You ask a question, it answers.
Requires to brief at each new conversation,
This is the level most people know today: ChatGPT, Claude, Gemini, Grok, Perplexity, etc.
It is powerful, but it usually requires you to brief the AI again at the start of each new conversation.
Level 2: Personalized assistant
This is where you can offload knowledge and context.
CustomGPTs, Gems, Claude Projects, ChatGPT Projects, saved instructions, memory, uploaded docs.
Your AI friend starts remembering the brief, and efficiency starts showing as you build a reusable assistant for a specific slice of your work.
Level 3: Embedded Assistant
You give your AI friend access to your workspace.
It can read and edit files, understand the project structure, and work closer to where the actual work happens.
Claude Code, Codex, Cursor agents, Replit Agent, and other coding or beyond-coding tools live around this level.
Leverage starts multiplying because it can see more of the environment.
Level 4 - Agent
AI stops being only a tool and start using tools.
You give it a goal, and it reasons through the steps needed to get there.
Manus, OpenClaw, Hermes, Operator-style tools, and the broader agent category are pushing in this direction.
So you don’t necessarily need a better model. You might just be using the wrong level.
If you keep repeating yourself, maybe you only need Level 2.
If you keep copy-pasting files and context, maybe you would benefit from Level 3.
If you have a clear outcome and clear constraints, at that point Level 4 makes sense.
And the goal is not to climb to the highest level, but to use the lowest level that removes your bottleneck.
If you need help getting technical clarity and increasing your leverage, let’s talk.