DropTicks-made scripts, skill files, workflow docs, prompt packs, and curated external references that help builders ship stronger AI systems.
Primary source documentation for evaluating and using this technology. High-throughput LLM inference and serving engine with OpenAI-compatible endpoints.
Open-source AI observability and evaluation platform for traces, experiments, prompts, datasets, and debugging.
Decision checklist for comparing this technology against alternatives. Testing documentation for component and end-to-end web app tests.
Decision checklist for comparing this technology against alternatives. Automation server documentation for CI/CD pipelines and plugins.
Decision checklist for comparing this technology against alternatives. Distributed computing framework for ML, data processing, training, and serving.
Evaluation framework for LLM applications, especially RAG systems and systematic experimentation loops.
Operational checklist for running this technology in real projects. Testing documentation for component and end-to-end web app tests.
Operational checklist for running this technology in real projects. Automation server documentation for CI/CD pipelines and plugins.
Operational checklist for running this technology in real projects. Distributed computing framework for ML, data processing, training, and serving.
Practical implementation reference for product and engineering teams. Testing documentation for component and end-to-end web app tests.
Practical implementation reference for product and engineering teams. Automation server documentation for CI/CD pipelines and plugins.
Practical implementation reference for product and engineering teams. Distributed computing framework for ML, data processing, training, and serving.