Design Principles
Define a set of actionable design principles that guide decision-making and resolve trade-offs.
Browse reusable instructions for your AI tools. Copy and customize a prompt, or download a skill for a supported agent.

Define a set of actionable design principles that guide decision-making and resolve trade-offs.
Define an illustration style guide with visual language, color usage, and application rules.
Apply the Law of Proximity to group related elements through spatial relationships.
When the AI leads vs. when the user leads, and how to hand off control.
Designing interfaces where AI generates UI components dynamically.
Designing reasoning chains that produce better outputs.
Anatomy of effective system prompts — role, context, constraints, format.
Adapting Nielsen's heuristics and new AI-specific heuristics for AI interfaces.
Designing for informed user consent, opt-out, and human override.
Defining behavioral boundaries — what the AI should and shouldn't do.
Conduct expert heuristic evaluations using Nielsen's heuristics and domain-specific criteria.
Articulate a compelling north-star product vision that aligns teams and inspires strategic design decisions.
Identify, evaluate, and prioritize design opportunities using impact-effort frameworks and strategic criteria.
Translating organisational values and user expectations into system constraints.
Reading user emotional state from text signals — caps, punctuation density, repetition, latency — and adapting before the user disengages.
When and how AI should escalate to humans, refuse, or ask for clarification.
What happens when an agent fails — retry, fallback, escalate, or graceful degradation.
Designing smooth transitions between agents and between AI and humans.
How the AI responds to user frustration, confusion, delight, and distress.
Turn-taking, repair sequences, grounding, and dialogue structure for human-AI interaction.
Interpreting implicit and explicit feedback — edits, regenerations, abandonment.
User correction, thumbs up/down, inline editing, and reinforcement signals.
How the AI communicates mistakes, uncertainty, and limitations gracefully.
Classifying AI failures — hallucination, refusal, irrelevance, tone mismatch, latency.
Try another platform, a broader search, or fewer filters.
Explore all resourcesResource formats: Prompts are ready to copy into a conversation. Skills install into the compatible agent shown on their page.
How it worksInclude the instructions, intended platforms, author, and license. Submissions are reviewed before publication.