ReasonFlow vs Standard
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What this shows: the same prompt sent two ways. Left: a flat system prompt, no pre-processing. Right: Talnir parses intent first, builds a signal, constructs the system prompt from that signal — then the model responds. Watch how the outputs differ, especially on ambiguous or conflicting prompts.
quickly explain in detail how memory works
briefly give me everything about neural nets
what are you?
help me debug this fast but be thorough
summarize and expand on consciousness
⬡ Standard LLM flat system prompt · no pre-processing
system prompt (static)
waiting for prompt...
response will appear here
☧ ReasonFlow + Talnir signal parsed · system prompt constructed
talnir signal
system prompt (constructed from signal)
waiting for signal...
response will appear here