Beyond the Prompt: Designing Intelligence

A masterclass on designing products where AI answers, ranks, or acts, presented at FITC Web Unleashed, Toronto, on 28 October 2026. The session argues that the design problem has moved beyond prompts and chat interfaces to a question of ownership: who owns an AI's answer once someone acts on it, and who fixes it when it is wrong. It works through four documented public incidents — Moffatt v. Air Canada (2024), Amazon's experimental recruiting engine (2014–17), Knight Capital (2012), and the Replit agent incident (2025) — and derives four frameworks from them: Map (the Interaction Stack / CLEAR model), Set Authority (the Autonomy Spectrum), Design Trust, and Gate the Release (the AI Experience Audit). Each framework is applied back to a case, measured with a named metric, and demonstrated on a worked example: a meeting assistant taken through all four tools. The deck is shared with the full speaker script in the notes, as presented. The companion handout, The Pattern Deck: A Field Guide for Teams Shipping AI, collects the seventeen design patterns and the Figma kit that builds them.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23772166
Primary Topic
Innovative Human-Technology Interaction
Type
article
Field-Weighted Citation Impact
0.00
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article

Beyond the Prompt: Designing Intelligence

Mathew Graham
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Zenodo (CERN European Organization for Nuclear Research)
Innovative Human-Technology Interaction
article

Beyond the Prompt: Designing Intelligence

Mathew Graham
article en

Abstract

A masterclass on designing products where AI answers, ranks, or acts, presented at FITC Web Unleashed, Toronto, on 28 October 2026. The session argues that the design problem has moved beyond prompts and chat interfaces to a question of ownership: who owns an AI's answer once someone acts on it, and who fixes it when it is wrong. It works through four documented public incidents — Moffatt v. Air Canada (2024), Amazon's experimental recruiting engine (2014–17), Knight Capital (2012), and the Replit agent incident (2025) — and derives four frameworks from them: Map (the Interaction Stack / CLEAR model), Set Authority (the Autonomy Spectrum), Design Trust, and Gate the Release (the AI Experience Audit). Each framework is applied back to a case, measured with a named metric, and demonstrated on a worked example: a meeting assistant taken through all four tools. The deck is shared with the full speaker script in the notes, as presented. The companion handout, The Pattern Deck: A Field Guide for Teams Shipping AI, collects the seventeen design patterns and the Figma kit that builds them.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 8%
Innovative Human-Technology Interaction
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