Compare what is available at free, paid, and API tiers across a set of AI tools. The tool makes the access gap visible — you can see exactly what disappears at each boundary, and ask who that exclusion affects.
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Capabilities in rows, tiers in columns: each cell is a specific feature marked present, limited, or absent. The matrix turns a pricing question into a question about which tasks are actually possible — and for whom.
Moving down a tier doesn’t just remove features — it changes what questions are askable, what tasks are completable, and what evidence you can gather. The tool names what is lost, not just what is missing.
Access tiers are not neutral. They sort users by willingness or ability to pay. This tool makes the exclusion visible as a design choice, not a natural consequence of cost.
Test the same task at different tiers. Name what changes and who that change affects.
Choose a real task you’d use this tool for. Then test whether it’s possible — fully, partially, or not at all — at each tier.
Don’t say “fewer features.” Name the specific capability that disappears and what task that capability would enable.
Who stops here? Not just “people who can’t pay” but the specific context: individual educators, students, small NGOs, researchers in certain regions.
Run the same task comparison on two different tools. Is the access gap in the same place, or do different tools exclude different users at different tiers?