What Good Filters Feel Like for AI Customers

Customers do not feel filters. They feel an AI tool that fits their workflow.

What They Feel

• The output is for their job, not a generic demo.
• The tool integrates with what they already use.
• Pricing matches the value they get, not the model cost.
• The wedge is something specific (data, workflow, integrations) — not just "GPT."

What They Do Not Feel

• Generic chat-with-your-X tools.
• Demos that impress technically but miss the workflow.
• Pricing pegged to per-token costs.

Why Filters Produce This

Defensibility filter forces specific wedges. Token economics filter forces value-based pricing. Together they make customers feel taken seriously.