Governance-First AI Architecture
"Intelligence is in the GOVERNANCE, not the LLM."
SIM-ONE posits that reliable AI systems require a deterministic governance layer that supercedes the probabilistic nature of Large Language Models. By inverting the traditional stack, we create systems that are verifiable, safe, and aligned by design, not by fine-tuning.
System intelligence emerges from component orchestration, not individual model capability.
Decision-making must be constrained by deterministic rulesets before execution.
Ground truth must be retrieved from verified sources, never hallucinated.
Compute resources must be allocated efficiently based on task complexity.
Inputs must produce predictable, auditable outputs across system states.
CLI Tool for AI-to-AI Delegation
A powerful command-line interface designed to streamline interactions with local LLMs via Ollama. It enables seamless piping of context, file contents, and system prompts directly into your model workflow, acting as the perfect bridge for AI-to-AI delegation chains.
Persistent context across CLI calls.
Hot-swap models per command.
Pipe file contents directly into prompts.
Run prompts against multiple files.
Fine-grained control over window size.
Multi-Agent Video Analysis System
An sophisticated video analysis pipeline utilizing multi-agent orchestration to decompose video content into semantic clips. It handles transcription, scene detection, and summarization automatically, creating searchable video knowledge bases.
Psychological Profiling for AI Personas
A platform designed to construct deep psychological profiles for AI personas. By leveraging established personality frameworks, GrindlessAI enables developers to create AI agents with consistent, believable, and nuanced behavioral traits.
Our mission is open. We believe the future of AI governance belongs to the community.
