6 boosters for "hallucination" — AI-graded, open source, ready to install
A Cursor-integrated coding standard guide for the Dingo SDK that enforces PEP 8 conventions, type hints, and proper lazy-import patterns for optional dependencies. Developers building with or contributing to Dingo benefit from consistent, maintainable Python code patterns.
Empirica is a system prompt that adds epistemic measurement, RAG grounding, and calibration gates to AI agents to reduce hallucinations and improve reliability in code generation workflows. It's designed for developers building AI-native applications who need measurable confidence in agent outputs.
A template-based framework for generating domain-specific AI agents on Copilot, emphasizing quality control, workflow automation, and zero hallucination through structured skill execution and multi-step verification loops.
Voice Call enables developers to integrate telephony capabilities (Twilio, Telnyx, Plivo) into AI agents for automated outbound calling and voice interactions. It's useful for teams building conversational IVR systems, notification platforms, and autonomous customer service agents.
A Copilot prompt booster that integrates Memory Bank MCP as a RAG system to prevent hallucinations and coordinate multi-agent tasks in VSCode projects. Teams using multi-agent AI development workflows benefit from enforced task routing and resource management.
A German-language system prompt for LinkoWiki AI assistant that enforces structured, hallucination-free wiki documentation with integrated tool access for search, file reading, and git operations. Useful for teams managing technical wikis through Claude-compatible platforms.
