ingpoc

Guides the creation of high-quality MCP servers for LLMs to interact with external services using Python or TypeScript.

Creates interactive scroll-based storytelling experiences with animated SVG art and mouse-following effects for immersive narratives.

Applies Tufte's data visualization principles to create impactful presentations that enhance clarity and communication of complex data.

Implements hooks to block invalid actions and enforce quality gates for state transitions, ensuring robust verification mechanisms.

Facilitates the setup and configuration of MCP servers for token efficiency and context-graph processing in AI applications.

Facilitates decision tracking and semantic search using past precedents, enhancing learning loops and decision-making processes.

Facilitates efficient feature implementation using project patterns, coding standards, and health checks for robust development.

Ensures reproducible outcomes through code verification and prompt versioning, enhancing reliability in AI workflows.

Optimizes data processing tasks with 98%+ token savings by executing code in a sandbox and using pagination for large datasets.