An adaptive AI interface needs an interaction log, not only a final answer
OpenAI’s GPT-6 can generate interactive charts, forms and tools inside a response. When the interface itself changes the user’s choices, teams need to preserve the path, state and inputs—not just the final text.
What happened
OpenAI launched GPT-6 with Intelligent UI on 7 October, saying ChatGPT can decide when to answer with interactive diagrams, forms, calculators and other generated interfaces.
Why it matters
A generated interface can influence a decision through defaults, ordering, hidden state and intermediate calculations. A transcript that stores only the final answer may not explain what the user saw or changed.
OpenAI introduced GPT-6 and Intelligent UI on 7 October. It says ChatGPT can produce interactive diagrams, charts, forms and task-specific tools rather than only prose. The Verge described examples including calculators and tappable visual explanations. The release establishes availability and product intent; it does not publish evidence that generated interfaces improve decisions, accessibility or error detection across users.
Preserve the interaction, not just the outcome
If a generated interface informs a consequential choice, store the model version, prompt, displayed controls, defaults, data sources, intermediate states and user changes. A final number is insufficient when two users could reach it through different generated controls. Capture whether the interface called external data, whether a calculation was recomputed after an edit and which state was actually approved.
Test the same task in text-only and interactive modes. Look for hidden defaults, inaccessible controls, unstable layout and cases where visual confidence outruns factual support. The comparison should use task success, correction rate and explanation quality—not preference alone.
The counterargument is that full interaction logging creates cost and privacy risk. That is real. Use tiered retention: short-lived telemetry for low-stakes exploration, but a compact signed interaction record for decisions that affect money, access, safety or employment. The immediate build question is whether the interface can reproduce and explain the decision path after the session ends.
A practical acceptance test should also freeze the underlying data and repeat the session across browsers, screen sizes and assistive technologies. Reviewers should be able to identify which labels, ranges and warnings came from the source and which were generated presentation choices. When the interface cannot preserve that distinction, the safer fallback is a static, reviewable representation.