spdustin/ChatGPT-AutoExpert

Features

• Persona Management Systems - Ships a framework for creating, organizing, and assigning specialized expert personas to language models.
• System Prompts - Provides a curated collection of system prompts and instructions to improve technical accuracy and nuance.
• Persona Assignments - Assigns specialized expert roles based on request context to ensure domain-specific professional standards.
• Contextual Persona Frameworks - Implements a method for assigning specialized expert roles based on the specific context of user requests.
• System-Level Instructions - Provides a library of persistent system-level instructions to guide LLM behavior and technical nuance.
• Persona Injection Files - Injects domain-specific expert roles into system prompts to guide technical accuracy and tone.
• Prompt Engineering Libraries - Provides a collection of optimized instructions and shortcut commands as a reusable library for better AI interactions.
• Custom Instruction Sets - Offers a set of curated system prompts to improve technical accuracy and remove conversational filler from outputs.
• Interactive AI Conversations - Optimizes interaction speed and reduces AI filler through shortcut commands and refined response patterns.
• Persona Definitions - Assigns specialized expert roles via named configurations and system prompts to ensure domain-specific professional standards.
• Prompt Optimizers - Provides curated system instructions and refined query structures to increase the precision and quality of AI responses.
• Prompt Engineering Frameworks - Provides a structured system combining chain-of-thought reasoning, iterative refinement, and persona injection for high-quality outputs.
• Reasoning Models - Implements chain-of-thought reasoning to force the model to expose logical steps for transparent and accurate outputs.
• Chain-of-Thought Enforcement - Provides mechanisms to force the model to output step-by-step logical derivations for increased transparency.
• Reasoning Process Controllers - Configures the model to output its structured thinking process and logical steps alongside final answers.
• Response Depth Enhancements - Increases response depth and nuance while removing repetitive disclaimers and unnecessary conversational filler.
• Prompt Iteration - Rewrites vague user inputs into structured prompts to improve the precision and quality of model outputs.
• Chat Command Shortcuts - Triggers specific actions like summarizing or reviewing using short text commands for faster interaction.
• Chat Command Shortcuts - Implements a shortcut system that maps short text sequences to complex instructions for rapid task execution.
• User Query Rewriting - Transforms ambiguous user questions into precise, structured prompts to elicit higher-quality responses.
• AI Personas - Manages sets of system prompts that define behavioral identities and professional domain expertise.
• Persistent Context Management - Uses exported history and file trees to maintain a consistent project mental model across sessions.
• Autonomous Coding Workflows - Optimizes the coding process by tracking project structures and managing sandbox environments for multi-turn programming tasks.
• Project Structure Mapping - Tracks the hierarchy of files and symbols to maintain project context during multi-turn coding.
• Code Sandboxing Environments - Manages an isolated execution environment for running and editing generated code samples.
• Named Session Save and Restore - Exports and imports conversation history and files to resume work seamlessly across different sessions.
• Hierarchical File Mapping - Maintains a hierarchical representation of files and symbols to track progress in complex multi-turn coding tasks.
• Sandboxed Execution Environments - Runs generated code within an isolated sandbox environment using a custom kernel to manage libraries.

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