How This Works
Narufield runs the same AI models you can use elsewhere (Claude models, GPT, Gemini) but through a reasoning architecture that shapes how they think.
The architecture tracks coherence as the AI reasons. It questions its own confidence, notices when it's drifting from what you asked, and surfaces uncertainty, woven into the reasoning process itself.
Context is kept intentionally tight. While you can see your chat history, only recent exchanges are passed to the model, preventing bleeding and drift while keeping attention sharp.
The result: thinking you can follow, with honest signals about confidence and uncertainty.
Products, Modes, and Vendors
λ-Core is the base: coherence tracking, uncertainty surfacing, grounded output. Handles most tasks well. Currently outfitted with a comprehension/teaching reflex.
Synthergy Engine extends that with multi-pass evaluation, creative exploration, and deeper synthesis. For research, complex analysis, or when you need the AI to really work through something.
Modes (Light through Deep) select which tier to use. Light runs fast, efficient options. Deep runs the most capable reasoning models. Each tier pulls from current, well-suited releases.
Vendors are the model providers: Anthropic, OpenAI, and Google.
You can swap mid-conversation: get a response, switch vendors, let a different model review or continue with its own flavor. Same reasoning descent, different engine underneath.*
*Narufield's AI behavior is shaped using Reflexive-DSL, a domain-specific language for programming reasoning patterns. Some models follow it more closely than others. If a response shows default model behavior (no header, generic answer), that's the model slipping.