02 — How People Interact with AI

AI Interaction Modes

Not levels — modes. Four distinct ways people interact with AI, without hierarchy. Plus the Agentic Layer that cuts across all of them.

What It Is

A marketer deep in Conversational + Creative is equally superpowered as a developer deep in Builder + Orchestration. Each person has a unique mode profile: they may be deeply skilled in 1–2 modes and absent from others — and that's perfectly fine.

Why It Matters

Components

Mode 1: Conversational

Chat-based collaboration — brainstorming, analysis, writing, research, problem-solving through dialogue.

Tools: ChatGPT, Claude, Gemini, NotebookLM, Copilot, Perplexity

DepthDescriptionExample
SurfaceOccasional simple queries"Write me an email about X"
ModerateStructured conversations with iteration"Here's my brief and brand voice. Draft 3 versions."
DeepPersistent AI collaborators with custom instructions"Claude project with my entire knowledge base loaded."

What it reveals: Prompt Mastery, Strategic AI Dialogue, Iteration Depth, Critical Trust

Mode 2: Creative

AI-assisted creation of visual, audio, video, and design content.

Tools: Midjourney, DALL-E, Suno, Runway, Kling, Canva AI, ElevenLabs, HeyGen

DepthDescriptionExample
SurfaceOccasional image generation"Generate a header image for my blog"
ModerateIntentional creative production with style consistency"Midjourney with specific style parameters for brand visuals."
DeepMulti-format production integrated into workflows"AI concept → video script → voiceover → production → social variants"

What it reveals: Creative Courage, The 90/10 Craft, Multi-Format Production

Mode 3: Builder

Building apps, scripts, prototypes, and tools via AI-assisted coding.

Tools: Cursor, Replit, v0, Bolt, Lovable, Claude Artifacts, Windsurf, GitHub Copilot

DepthDescriptionExample
SurfaceTried generating code once or twice"Asked ChatGPT to write a Python script once"
ModerateRegularly builds small tools"Built a dashboard with v0 and a data analyzer with Artifacts"
DeepProduction-level applications"Designed architecture with Claude, built backend in Cursor"

What it reveals: Creative Courage, Process Decomposition, Workflow Orchestration, Building

Mode 4: Orchestration

Designing multi-step systems, workflows, and automations.

Tools: Make (Integromat), n8n, Zapier, Relay, Power Automate, custom APIs

DepthDescriptionExample
SurfaceAware but hasn't built anything"I know Make exists but haven't tried it"
ModerateBasic automations connecting 2–3 tools"Form submission → AI summarizes → sends to Slack"
DeepComplex multi-step systems"RSS → AI analysis → scoring → weekly briefing, 200+ sources"

What it reveals: Workflow Orchestration, Augmentation Vision, Knowledge Architecture

The Agentic Layer (Cross-Cutting)

Agents are not a 5th mode. They are a capability layer that can manifest within ANY mode.

ModeNon-AgenticAgentic
ConversationalYou ask, AI answersAI with memory that proactively suggests and acts
CreativeYou prompt, AI generatesAI autonomously generates, evaluates, and iterates
BuilderYou direct each code changeAI agent implements autonomously across files
OrchestrationYou design, it runsSelf-monitoring workflows that adapt and decide

Agentic Depth Levels

LevelDescription
0All AI interactions manually initiated
1AI has memory/context but user drives decisions
2AI handles specific tasks autonomously within guardrails
3Multi-step autonomous workflows with minimal oversight
4System of coordinating agents, human on the loop

How We Assess It

In the Free Assessment (SHORT)

3 direct items in Layer 1:

In the Full Assessment (LONG)

Modes emerge naturally from scenario responses — not asked directly:

Scoring

Final Mode Profile:
  Conversational: (L1_mode_choice * 0.3) + (L2_behavioral_depth * 0.7)
  Creative:       (L1_mode_choice * 0.3) + (L2_behavioral_depth * 0.7)
  Builder:        (L1_mode_choice * 0.3) + (L2_behavioral_depth * 0.7)
  Orchestration:  (L1_mode_choice * 0.3) + (L2_behavioral_depth * 0.7)

  Agentic depth per mode: L2-only

Open Questions