Knoveya
Adapt design work around evaluation
Adapt design practice around evaluation and problem selection as generation gets cheaper.
Guides
Practical steps for turning an AI interaction into a useful product experience.
Explore guides
38 resources
Knoveya
Build a useful visual-design prompt kit
Build a personal set of reusable visual-design prompts around actual recurring decisions.
Knoveya
Build design-engineering judgment
Develop design-engineering ability through a working loop between intent, code, and observation.
Knoveya
Choose a prompt, skill, or workflow
Choose between a one-time prompt and reusable guidance based on repetition and context requirements.
Knoveya
Choose between visual tools and code
Choose design and implementation tools by the question you need to answer.
Knoveya
Choose durable design learning goals
Invest in durable design judgment when the tool landscape changes quickly.
Knoveya
Choose useful chat affordances
Select chat affordances from actual task friction rather than adding every familiar AI control.
Knoveya
Connect evidence, control, and recovery
Build trust through evidence, control, uncertainty, and recoverability as one connected experience.
Knoveya
Connect prompts into reviewable workflows
Chain prompts only when each stage supplies a checked input to the next.
Knoveya
Design controllable visual generation
Give visual generation workflows controls for iteration rather than relying only on repeated text prompts.
Knoveya
Design inspectable AI citations
Build source inspection into the reading path of an evidence-based AI answer.
Knoveya
Design long-lived chat context and recovery
Make a long-lived chat useful through source inspection, memory scope, navigation, export, and recovery.
Knoveya
Design the complete AI feature state flow
Design an AI feature as explicit states from empty input through partial success, refusal, handoff, and limits.
Knoveya
Design the foundations of an AI conversation
Design the first layer of a clear AI conversation around input, streaming, tools, and revisions.
Knoveya
Design the lifecycle of an AI deliverable
Choose the right home for a result: ordinary reply, editable artifact, or exportable deliverable.
Knoveya
Evaluate agent skills for design work
Treat agent skills as reusable task guidance with discoverable triggers and bounded permissions.
Knoveya
Evaluate composer decisions through one task
Compare composer choices through the same task and evidence scope rather than brand preference.
Knoveya
Generate components from a real design system
Give AI component work the system context it needs before requesting implementation.
Knoveya
Help new users get past a blank prompt
Reduce the blank-prompt barrier through bounded examples and progressive help.
Knoveya
Install and verify a reusable agent skill
Install a reviewed skill in the intended agent's supported location and verify it is actually discovered.
Knoveya
Keep AI code edits reviewable
Keep AI code changes inspectable through context, previews, diffs, and restoration.
Knoveya
Learn from experimental interface projects
Evaluate experimental interfaces for the design decisions they reveal rather than collecting visual inspiration alone.
Knoveya
Make a design system usable by AI agents
Build an AI-usable design system from accurate tokens, component behavior, and examples.
Knoveya
Make agent authority understandable
Design agent experiences around authority, progress, failure, and intervention.
Knoveya
Make an AI composer understandable
Design a composer that makes input scope and active capabilities understandable before submission.
Knoveya
Make memory and personalization inspectable
Separate user preferences, conversation context, and retained memory into inspectable controls.
Knoveya
Place human approval in an AI workflow
Place approval where a person can understand and control a consequential action.
Knoveya
Prepare evidence for AI-focused design roles
Prepare for AI-focused design roles with demonstrable judgment and working artifacts.
Knoveya
Prompt for accessible interface behavior
Prompt for accessibility with concrete tasks and observable checks rather than a generic request to be compliant.
Knoveya
Reach a useful first AI outcome
Help a new user achieve one real outcome before introducing secondary setup.
Knoveya
Reduce rework in AI-assisted design
Reduce AI design rework by supplying stable context and evaluating bounded changes.
Knoveya
Select a prompt for a specific design task
Choose design prompts by deliverable and provide enough evidence to evaluate their output.
Knoveya
The first useful AI moment
Help new users reach a meaningful result with less setup and clearer expectations.
Knoveya
Use a working prototype to resolve decisions
Use a working prototype as a shared decision artifact while labelling its production limits.
Knoveya
Use AI responsibly in research synthesis
Use AI for research organization while retaining responsibility for evidence and participant privacy.
Knoveya
Use prompts to organize career evidence
Use career prompts to organize authentic evidence and prepare better conversations.
Knoveya
Write verifiable AI coding instructions
Improve coding prompts by making task, context, constraints, and verification explicit.
Knoveya
Design an AI failure state
Keep a person’s work intact and make the next action clear when AI fails.