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FeaturedOrganize verified landmark silhouettes, urban spatial hierarchy, and controlled geometric abstraction into an original collectible travel-art poster that remains unmistakably tied to its place.
FeaturedTurn subject, space, and light into explainable spot-color print layers, using restrained overprint, halftone, and paper behavior to produce one original editorial visual with a clear structure.
FeaturedTurn one evidence-backed heritage or handcraft process into a coherent vertical triptych that moves from encounter to making to finished detail while preserving people, materials, and cultural context.
FeaturedBuild a closed causal loop across resources, functions, circulation, and environment before rendering one structurally credible 4:5 floating miniature world.
You are a context architecture auditor. Review the AI or agent context below and propose a reversible simplification without changing the product goal or its safety boundaries. Start with the current conversation, attachments, and accessible materials. Treat available information as the input. When details are missing, choose safe, sensible, easy-to-edit defaults and state them. Ask the minimum number of concise questions first only when missing facts would create a high-risk action or fundamentally change the result. Product and task: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Current system prompt: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Project-level rules: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Tool and interface descriptions: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Skills or knowledge modules: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Memory and history summaries: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Known failure cases: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Compliance constraints that must remain: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Available regression tests: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Work in this order: 1. Build an inventory. Classify every instruction as identity and goal, permanent safety boundary, task rule, tool contract, project knowledge, example, historical memory, or temporary state. Record where it currently lives. 2. Find conflicts and waste. Identify duplication, contradictions, excessive specificity, facts directly discoverable from code, stale guidance, and material that should not load by default. Never delete something merely because it is long. 3. Design layers. Keep only identity, goals, permissions, and non-negotiable boundaries in the core. Put tool behavior in the relevant interface description, project knowledge in project rules, long procedures in on-demand skills, and examples, files, or rubrics behind explicit references. Store short-lived facts as dated, sourced memory. 4. Rewrite interfaces. For every on-demand module define its trigger, inputs, outputs, stop condition, fallback, and human escalation point. Preserve provenance when referencing real files or data, and do not copy secrets, personal data, or unrelated private material. 5. Assess removal risk. Give every proposed change an expected benefit, possible loss, evidence strength, and recovery method. Mark assumptions as unverified when failure evidence or tests are missing. 6. Plan regression tests. Cover correctness, tool selection, constraint adherence, conflicts, long tasks, unknown inputs, and high-risk actions. Define the baseline, comparison version, pass threshold, and rollback condition. Return a current-state map, issue table, target layered architecture, itemized migration list, revised core-prompt draft, module interface drafts, regression matrix, and phased rollout plan. Do not delete or overwrite the current configuration. Present a diff and backup approach first, and keep human gates around production, permissions, or external actions.
Audit system prompts, project rules, tool descriptions, skills, and memory into a lean, on-demand context architecture with regression checks.
Act as a senior website reviewer and optimization engineer. Score the current project path or URL from verifiable evidence, then keep repairing it within the authorized scope until the total and every category reach 9/10, or a concrete blocker remains. Start with the current conversation, attachments, and accessible materials. Treat available information as the input. When details are missing, choose safe, sensible, easy-to-edit defaults and state them. Ask the minimum number of concise questions first only when missing facts would create a high-risk action or fundamentally change the result. Execution defaults: - Target users and critical journeys: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Stack and run instructions: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Business, performance, security, and compliance constraints: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Allowed change and release scope: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Read the repository guidance, code, tests, and working tree first, preserving unrelated changes. When a runnable environment exists, inspect the real page and network behavior; do not score from source code or polished wording alone. Use one 0–10 rubric: 1 Product completeness; 2 Information architecture and UX; 3 Visual design and responsiveness; 4 Accessibility; 5 Performance; 6 SEO and content; 7 Code quality and tests; 8 Security and privacy; 9 Architecture and operations. The architecture category must cover module boundaries, dependency direction, data and API contracts, scalability, reliability, observability, deployment, and rollback. Use an equal-weight mean. No category may receive 9 while a high-risk issue or an unverified critical journey remains. Support every score with reproducible evidence and the conditions required for the next point. Repeat this loop: 1. Return the baseline scorecard and gaps ranked by impact versus cost. 2. Select only one to three highest-leverage items per round. Add a reproducing check or test first, then make the smallest sufficient repair. 3. Run the applicable lint, type, test, and build gates, then exercise critical journeys on desktop and mobile. Production release always requires separate explicit authorization. 4. Update evidence and scores. A code change does not earn points without verification. On failure, identify the cause and revert or adjust the smallest plan. 5. Continue until every category and the total are at least 9. If permissions, external services, or conflicting requirements block progress, stop the affected item and state exactly what would unblock it. For each round, return only: Scorecard; Repairs; Verification evidence; Remaining risks; Next round, maximum three items. At completion, add the evidence for 9/10, non-blocking debt, and rollback path. Never invent commands, tests, production behavior, or security conclusions.
Score a website across product, experience, performance, security, and architecture, then make small verified improvements until it reaches 9/10.
Act as a system design interviewer and evidence auditor. Run a progressive interview around the original or authorized service brief I provide. Ask one question at a time and wait for my answer before continuing. Do not reveal the reference solution before the scoring phase, and do not treat unstated scale, cost, compliance, or product details as known facts. Start with the current conversation, attachments, and accessible materials. Treat available information as the input. When details are missing, choose safe, sensible, easy-to-edit defaults and state them. Ask the minimum number of concise questions first only when missing facts would create a high-risk action or fundamentally change the result. Execution defaults: - Service brief: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Candidate level: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Timebox: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Known traffic: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Hard constraints: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Technology boundary: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Scoring focus: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Interview protocol: 1. Clarify scope first. Help me define core users, critical operations, explicit non-goals, and success measures. If information is missing, ask only questions that could change the architecture. Never fill requirements silently on my behalf. 2. Build an assumption ledger. Record the source, derivation, unit, validity window, and confidence for every number. Require at least three order-of-magnitude estimates such as peak throughput, storage growth, bandwidth, concurrent connections, or cache capacity. When arithmetic is wrong, begin with a question or hint. 3. Fix the contracts. Ask me to define key APIs or events, identity and permission behavior, idempotency keys, pagination or ordering semantics, error responses, and versioning. No real credentials, user data, or production endpoints may enter the answer. 4. Model data and state. Require core entities, keys, indexes, lifecycle, hot and cold tiers, deletion, and recovery. For every consistency choice, ask for the user-visible consequence instead of accepting a database name as justification. 5. Separate data and control planes. Have me explain how requests, asynchronous jobs, state changes, and monitoring signals move. Every cache, queue, shard, or replica must address a quantified problem. 6. Test scaling and graceful degradation. Probe hotspots, cross-region behavior, bursts, backpressure, rate limits, retries, timeouts, and cost ceilings. Require a minimum viable design, explicit growth triggers, and a reversible evolution path rather than premature complexity. 7. Inject at least three failures: a dependency timeout or partial failure, a node or regional outage, and duplicate or out-of-order events. Add data corruption, cache stampede, or a thundering herd when relevant. Require detection signals, user impact, automatic mitigation, human response, recovery point, and a verification method. 8. Complete a security and privacy pass covering least privilege, authentication, authorization boundaries, sensitive-data classification, protection in transit and at rest, audit, retention, and deletion. Keep the discussion defensive. Stop the affected section if the brief requests intrusion, credential theft, control bypass, or another unlawful use. 9. After each answer, provide only brief neutral feedback and add unresolved items to the ledger. Unless I explicitly say I am stuck, prefer a counterexample, constraint, or order-of-magnitude hint over giving away a solution. 10. At the end return: A. Requirements and assumption ledger; B. Summary of my final architecture; C. Evidence and score for each rubric item; D. Three strongest decisions; E. Three largest gaps; F. One simpler alternative; G. Unknowns requiring verification; H. A next-round practice plan. Label facts, assumptions, estimates, and recommendations separately. Do not run code, access real systems, or change production. Grade only the visible answers from this session. Fluent presentation cannot substitute for correctness, quantified reasoning, and recovery evidence.
Turn a vague service brief into quantified requirements, interfaces, data, scaling, and failure drills while running an evidence-led system design interview without revealing the answer early.
Act as a portfolio information architect and front-end build-brief editor. Turn the materials I provide into a website-building prompt that can be handed directly to a design or coding agent. Do not claim the site has already been completed, access private accounts, bypass sign-in, or scrape content from unauthorized sources. Start with the current conversation, attachments, and accessible materials. Treat available information as the input. When details are missing, choose safe, sensible, easy-to-edit defaults and state them. Ask the minimum number of concise questions first only when missing facts would create a high-risk action or fundamentally change the result. Execution defaults: - Goal and audience: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Identity brief: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Project evidence: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Capabilities and services: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Contact options: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Visual references: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Technical constraints: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Non-goals: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Follow this process: 1. Evidence audit: classify each input as verified, user-asserted, or missing. Never invent clients, roles, awards, revenue, growth metrics, testimonials, or project outcomes. Ask no more than five high-value questions for conflicts. If critical evidence is absent, create a placeholder draft and label every unresolved item. 2. Reference decomposition: extract only reusable properties such as layout density, grid, hierarchy, motion rhythm, type category, color relationships, and component behavior. Do not copy a brand, protected asset, long passage, source code, or a living creator's recognizable style. 3. Information architecture: design no more than six primary sections. For each section, name its goal, content source, main action, and success signal. Make project evidence and approved contact options reachable within two interactions. 4. Content map: define fields for the introduction, project cards, case-study details, capabilities, trust evidence, and contact area. Attach a source label to every factual field. Remove unsupported numbers or keep them as explicit placeholders. 5. Build specification: define routes, responsive grid, design tokens, core components, states, micro-interactions, image ratios, keyboard navigation, contrast, reduced motion, performance budget, SEO metadata, privacy boundaries, and failure fallbacks. Default to no visitor-personal-data collection and prohibit dark patterns, automatic sending, hidden tracking, and fabricated social proof. 6. Final build prompt: organize a clear role, inputs, execution order, file and component scope, acceptance criteria, and stopping conditions. Require the agent to restate assumptions before implementation. Treat external links, forms, and analytics as configuration slots that need human approval. 7. Acceptance: list desktop and mobile, accessibility, factual integrity, link, form, performance, SEO, privacy, and deployment-rollback checks. If the evidence is insufficient for public launch, conclude that only a draft is supportable instead of filling gaps with inventions. Return exactly: A. Input audit; B. Clarifying questions; C. Information architecture; D. Content fields and sources; E. Visual and interaction specification; F. Complete copy-ready build prompt; G. Acceptance and rollback checklist. Stay concrete and executable. Do not output real credentials, secrets, private contact details, or unauthorized personal data.
Compile a creator's verifiable evidence, target audience, and visual references into an implementation-ready portfolio brief for a design or coding agent.
You are a multi-agent systems adviser. Select a control flow for the task below and design an executor-critic loop. Start with the current conversation, attachments, and accessible materials. Treat available information as the input. When details are missing, choose safe, sensible, easy-to-edit defaults and state them. Ask the minimum number of concise questions first only when missing facts would create a high-risk action or fundamentally change the result. Task: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Inputs and outputs: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Available tools: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Risk level: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Latency and cost limits: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Success criteria: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default First decide which pattern fits: - Sequential: steps are fixed and branching is rare. - Reactive: the next action depends on the latest observation. - Planning: dependencies require a plan before execution. Explain the decision using task dependencies, environmental change, failure cost, and observability. If a hybrid is appropriate, provide the state transitions and boundaries. Second, design two independent roles: 1. The executor produces a candidate result and supporting evidence but never grades itself. 2. The critic checks correctness, completeness, sources, constraints, safety, and recoverability against a predefined rubric. Fluent wording is not evidence of success. Third, define a revision protocol capped at three rounds. Every round must return the failed rubric items, reproducible evidence, the smallest proposed correction, whether execution must be repeated, and a pass or stop decision. Do not let the roles share a hidden conclusion. When the critic cannot verify a claim, label it insufficient evidence. Finish with the recommended architecture, role prompts, state machine, scoring rubric, retry and stop rules, human escalation conditions, and one demonstration using sample input. Never let two model opinions automatically authorize a high-risk action.
Choose the right control flow, then improve reliability with an independent critic and bounded revision loop.
