The Helix Framework

The Six AI Archetypes

Every AI profile maps to one of these archetypes. They are not rankings — every archetype is a valid, coherent relationship with AI. Understanding yours is the first step to developing your AI capability intentionally.

⚡ Archetype Profile

The Orchestrator

Multiple tools, strategic deployment, intentional systems. They don't just use AI — they run it like infrastructure.

12%

of profiles

Expected in a typical team

“I have a system now. Claude for writing, Copilot for code, ChatGPT for quick questions. Each one has its lane.”

— Product manager, tech startup

Augment / AdaptConditional trustTool or CollaboratorMulti-toolSystem builderOrchestration

Typical Tools

3–5

Frequency

Daily+

Discovery

Self-directed

Defining Behaviours

  • →Uses 3+ AI tools regularly with clear rationale
  • →Thinks about AI systemically, not task-by-task
  • →Has built repeatable workflows around AI
  • →Often the person others come to for AI advice
  • →Actively experiments, but strategically

Common Use Cases

  • →Writing and content (Claude or ChatGPT)
  • →Code and technical work (Copilot, Cursor)
  • →Research and analysis (Perplexity, ChatGPT)
  • →Image and design (Midjourney, DALL-E)
  • →Workflow automation (Zapier AI, custom GPTs)

What this archetype needs from an organisation

Autonomy to choose toolsMandating a single tool frustrates Orchestrators. Give them a budget and guardrails, not a prescription.
A platform to shareThey want to teach others. Create internal showcases, AI champions programs, or demo days.
Advanced capabilitiesAPI access, custom GPTs, enterprise-tier tools. They have outgrown the free tier.
Strategic partnershipInvolve them in AI strategy decisions. They have operational insight the C-suite lacks.

Supporting Quotes

“The real skill is not using AI — it is knowing which AI to use for what.”

— Strategy consultant

“My colleagues think I am fast. They do not realise I have automated half my process.”

— Content lead, media company

“I spend more time designing my prompts than I used to spend on the work itself. And the output is ten times better.”

— UX researcher, enterprise SaaS

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