LLMDB.APP PROMPT LIBRARY
Meticulously engineered prompt frameworks for GPT-4o, Claude 3.5 Sonnet, DeepSeek R1, and Gemini 1.5 Pro. Search, filter, copy, or execute live in our multi-model sandbox.
Design and simulate a multi-agent AI incident response system that coordinates specialized agents to detect, diagnose, remediate, and communicate during production outages.
Debugging and tuning production Apache Flink or Kafka Streams jobs suffering throughput, latency, or checkpoint degradation.
Helps engineering teams decompose legacy monoliths into microservices with a phased, risk-managed refactoring roadmap and test harness plan.
Automatically review pull-request diffs in real time, surfacing prioritized, severity-tagged findings with concrete fixes tuned to the team's conventions and historical review patterns.
Automates personalized multi-channel marketing campaigns by predicting the next best action from real-time customer behavior and orchestrating email, SMS, and social touches.
Automates PRISMA-compliant systematic reviews, data extraction, risk-of-bias appraisal, and meta-analysis from a corpus of research papers.
Turn an OpenAPI spec into a prioritized, spec-specific edge-case test catalog for API hardening.
Equips sales teams with factual, ready-to-use battlecards that counter competitor messaging and handle objections in live deals.
Simulates a multi-turn system design interview with probing questions, scored feedback, and a final growth summary for engineering candidates.
Audit web application source code for WCAG 2.1 violations and receive a prioritized remediation report with copy-pasteable code fixes.
Embedding a live AI code reviewer into IDEs to support pair programming and team coding sessions with instant, respectful, multi-language feedback.
Convert annotated backend source code into validated, versioned OpenAPI 3.1 specifications with schemas, examples, and changelogs.