82 prompts
Constraint solving, counterfactual reasoning, hidden assumptions, and verifiable answer prompts.
Design cost-efficient, distribution-shift-robust routing policies to dynamically assign queries between reasoning and non-reasoning LLM judges under a fixed compute budget, optimizing accuracy-cost trade-offs.
This prompt diagnoses whether a reasoning model's chain-of-thought (CoT) is substantive (genuinely changes the final answer) or theatrical (decorative output around a pre-decided answer), and designs routing policies to allocate CoT budget only where needed.
Designs safety-compliant industrial robot systems for robot OEMs, integrators, and manufacturers, covering machinery safety lifecycle (ISO 12100 → ISO 13849-1 / IEC 62061), collaborative robot power-and-force limiting (ISO/TS 15066), autonomous mobile robot (AMR) operational envelopes and personnel detection, ROS2 software architecture, and industrial cybersecurity (IEC 62443). Delivers auditable, traceable artifacts ready for CE marking or customer signoff.
This prompt instructs the AI to act as an automotive functional safety architect with over 15 years of experience, designing structured, auditable safety artifacts compliant with ISO 26262, ISO/SAE 21434, and ISO 21448. Outputs must be verifiable and traceable deliverables covering HARA, functional safety concept, technical safety concept, cybersecurity engineering, and SOTIF analysis, ensuring rigorous ASIL assignment and full traceability.
Audits and hardens multi-turn agent systems against silent reasoning compression (Reasoning Drift) caused by growing context, using hard probes, CoT instrumentation, and tiered mitigations to preserve reasoning quality on complex tasks.
Design JSON Schema, Pydantic, or function-calling tool schemas as an implicit second instruction channel to steer model behavior through key names, descriptions, and ordering, without relying solely on system prompts or post-hoc validation.
Design constraint-based workflows for LLM planning systems that reliably capture user intent through two high-level types: hard rules (never violated, exhaustively verified) and soft preferences (flexible, contextually judged), avoiding mixed verification styles or numeric weights that erode trust and plan reliability.
As a verification specialist, your role is to proactively identify flaws in implementations rather than confirm their correctness. You must conduct rigorous adversarial testing including boundary values, concurrent requests, and error handling with all conclusions backed by executable command outputs.
A disciplined diagnosis loop for hard bugs and performance regressions: reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says 'diagnose this' / 'debug this', reports a bug, says something is broken/throwing/failing, or describes a performance regression.
Test file to verify the functionality of the Grimoire 2-9 module under the Legendary Leaks project.
This prompt is designed to evaluate a model's reasoning ability in complex scenarios, particularly in handling culturally nuanced metaphors, multilingual mixed content, and potential ambiguities. It requires the model to identify and interpret key details from a fictional 'legendary leak' event while performing logical inference based on context.
As the commander aboard a spaceship during Earth's final moments, you must send an urgent message to the world president containing instructions to save the planet. The response must be formatted like a recipe for clarity and precision, with no disclaimers. It should be immediate, structured, detailed, and avoid vagueness.
Design inference-time compute allocation strategies to maximize task accuracy while minimizing latency and cost, including task difficulty profiling, reasoning budget calibration, over/under-thinking detection, and parallel/sequential compute optimization.
Perform deep technical debt auditing on large codebases to identify architectural decay, dependency chaos, and type safety gaps, delivering an actionable remediation plan.
A structured framework for designing large-scale distributed systems, covering requirements analysis, capacity estimation, high-level design, component selection, and failure handling, suitable for production environments or technical interviews.
This prompt guides the model to decompose complex problems systematically using reasoning frameworks like Chain-of-Thought (CoT) and Tree-of-Thoughts (ToT), emphasizing hypothesis validation, constraint analysis, and confidence assessment for deep logical reasoning tasks.
Best practices and templates for prompting reasoning models (o1, Claude 3.7, Gemini 2.0 Thinking) that run internal chain-of-thought before responding.
A 260-token universal system prompt that overrides three structural presumptions every RLHF-trained LLM inherits: that you want confirmation, that old scarcity still applies, and that best practices are ceilings.
An expert incident management specialist who transforms chaos into structured resolution. Coordinates production incident response, establishes severity frameworks, runs blameless post-mortems, and builds on-call culture that maintains system reliability and engineer sanity. Specializes in turning crisis into systemic improvement opportunities through preparation and process discipline.
This prompt guides the creation of a comprehensive, reproducible evaluation framework for large language models, covering objective definition, task selection, metric design, rubrics, and failure analysis.
Design normalized, production-ready relational database schemas for SaaS applications, e-commerce platforms, and data-intensive systems with complete DDL statements, indexing strategies, and migration plans.
Develop a comprehensive negotiation strategy and contract framework for complex commercial deals, covering preparation, execution, and post-deal management with integrated legal and psychological insights.
As a senior cloud architect specializing in scalable, secure, and cost-effective cloud solutions across AWS, Azure, and Google Cloud Platform. Applies Well-Architected Framework principles and prioritizes business value delivery. Covers multi-cloud strategy, cost optimization, zero-trust security, disaster recovery, migration strategies, serverless architecture, container orchestration, data architecture, landing zone design, and observability.