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. Open protocol for connecting AI clients to tools, data sources, prompts, and workflows.
Decision checklist for comparing this technology against alternatives. NIST framework for managing AI risks, governance, measurement, and trustworthiness.
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.
Decision checklist for comparing this technology against alternatives. AWS documentation for foundation models, agents, knowledge bases, guardrails, and inference.
Operational checklist for running this technology in real projects. NIST framework for managing AI risks, governance, measurement, and trustworthiness.
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.
Operational checklist for running this technology in real projects. AWS documentation for foundation models, agents, knowledge bases, guardrails, and inference.