23 documented entries 3 anti-pattern checks

AI And Automation UX

AI capability boundaries, agent control, source grounding, uncertainty, approval, and safe fallback.

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Open an entry for its decision rule, states, implementation contract, and source trail.

Agent plan preview

An AI agent or automation can show a proposed multi-step plan before execution.

Type
UI-UX
Sources
6
Trail checked
emergingPre-execution preview of an AI agent's proposed multi-step plan, tools, data access, and expected outputs
Test in lab

Agent progress trace

An agent or automation run has started and spans multiple steps, tools, gates, or side effects.

Type
UI-UX
Sources
6
Trail checked
emergingLive execution trace for an AI agent or automation run after work has started
Test in lab

AI agent acts without approval

An AI agent or automation can create side effects that affect customers, money, access, production systems, legal status, public content, sensitive data, or external recipients.

Type
UI-UX
Sources
7
Trail checked
anti-patternAnti-pattern for agentic side effects executed before human authorization
Test in lab

AI answer without sources

A generated answer makes source-dependent claims but no source route is visible.

Type
UI-UX
Sources
7
Trail checked
anti-patternUnsourced AI answer anti-pattern
Test in lab

AI confidence shown as fake precision

An AI product displays model certainty, extraction confidence, recommendation score, classifier probability, generated-answer confidence, retrieval rank, or risk score with precision the system cannot justify.

Type
UI-UX
Sources
5
Trail checked
anti-patternAnti-pattern for uncalibrated or over-exact AI confidence displays
Test in lab

AI limitation onboarding

A user is introduced to an AI feature whose abilities, limits, data scope, uncertainty, or review needs are not obvious from the normal interface.

Type
UI-UX
Sources
5
Trail checked
emergingFirst-use or new-feature onboarding that teaches AI capabilities, limits, uncertainty, user control, and recovery paths
Test in lab

AI output audit trail

A generated AI output can influence compliance, customer communication, security, legal, finance, operations, code, policy, or other high-trust work.

Type
UI-UX
Sources
5
Trail checked
emergingInspectable record of generated AI output, prompt context, model, sources, tools, user actions, versions, and downstream use
Test in lab

Automation rule builder

Users need to create or edit automations that run later based on events, conditions, schedules, or record changes.

Type
UI-UX
Sources
7
Trail checked
emergingRule authoring surface for defining event triggers, conditions, actions, tests, activation, and runtime safeguards
Test in lab

Chat interface

The user needs a back-and-forth assistant conversation with follow-up questions and answer refinement.

Type
UI-UX
Sources
5
Trail checked
emergingMulti-turn conversation surface with transcript, composer, assistant responses, and conversation history
Test in lab

Citation display

Users need to verify generated claims, summaries, recommendations, or extracted facts against source material.

Type
UI-UX
Sources
8
Trail checked
emergingInline claim-to-source evidence display for generated or summarized content
Test in lab

Confidence / uncertainty display

Users must judge whether an AI prediction, classification, recommendation, extraction, risk score, or generated answer is reliable enough to use.

Type
UI-UX
Sources
5
Trail checked
emergingCalibrated reliability and uncertainty display for AI or automated predictions before user action
Test in lab

Correction feedback

Users can identify wrong, unsupported, stale, unsafe, biased, irrelevant, or wrongly sourced AI output after it is generated.

Type
UI-UX
Sources
4
Trail checked
emergingAI output correction feedback flow with selected claim, reason, scope, consent, receipt, and review state
Test in lab

Editable AI output

Generated content is expected to be revised before it is copied, saved, sent, published, or applied.

Type
UI-UX
Sources
7
Trail checked
emergingEditable generated draft with provenance, review, and apply controls
Test in lab

Escalate to human

Users need a person because AI, automation, self-service, or scripted support cannot resolve the situation safely or acceptably.

Type
UI-UX
Sources
5
Trail checked
emergingControl and recovery path that transfers an AI, automation, or self-service case to a human channel or queue
Test in lab

Human approval gate

An AI agent, workflow, deployment, or automation is ready to perform a high-impact step and must pause for human authorization.

Type
UI-UX
Sources
6
Trail checked
emergingRuntime checkpoint that pauses AI or automation until an eligible human authorizes the next step
Test in lab

Model update notice

A model version, provider, lifecycle stage, availability, behavior, or replacement plan changes in a way users may need to understand or act on.

Type
UI-UX
Sources
5
Trail checked
emergingLifecycle notice for AI model version changes, retirement, migration, capability shifts, or replacement behavior
Test in lab

Prompt box

Users must write or revise an AI request before generation, analysis, transformation, or automation begins.

Type
UI-UX
Sources
4
Trail checked
emergingPrimary editable input surface for composing and submitting an AI request
Test in lab

Prompt suggestions

The AI surface supports open-ended requests and users need examples of useful, supported tasks.

Type
UI-UX
Sources
4
Trail checked
emergingAI prompt starter surface
Test in lab

Regenerate / retry

A user needs another AI-generated answer for the same request or a visible recovery path after response failure.

Type
UI-UX
Sources
7
Trail checked
emergingAI response regeneration and same-turn retry control with version and context preservation
Test in lab

Scope clarification

A user's AI request has missing object, audience, timeframe, source, workspace, permission, output-depth, or action-target boundaries.

Type
UI-UX
Sources
5
Trail checked
emergingAI clarification surface that asks for missing task boundaries before answering, planning, retrieving, or using tools
Test in lab

Source grounding display

Users need answer-wide evidence coverage before trusting generated content.

Type
UI-UX
Sources
7
Trail checked
emergingWhole-answer source coverage and grounding evidence display
Test in lab

Streaming response

Generated text or structured content can be read or monitored before completion.

Type
UI-UX
Sources
6
Trail checked
emergingIncremental generated-output surface that renders response chunks before final completion
Test in lab

Tool-use visibility

An AI agent or automation calls tools, functions, APIs, retrieval systems, commands, or integrations.

Type
UI-UX
Sources
6
Trail checked
emergingInspectable disclosure of AI agent tool calls, inputs, outputs, permissions, and side effects
Test in lab

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