Non-Obvious Knowledge Base
Operational Protocols & Clarifications
What defines a "Non-Obvious" idea?
These are concepts that feel obvious only after they have been stated, yet remained undiscovered until that moment. Rather than calculating statistical averages of existing data, Ideactor forces six distinct cognitive engines (Bio-Inspired, Cross-Domain, Future Backcast, First-Principles, Academic Synthesis, Intuition Catalyst) to extract answers from the "blind spots" of your intuition.
How should I utilize the six distinct thinking engines?
While the system typically automates the optimal mix, you may manually select an engine based on your objective:
- First-Principles: For dismantling established common sense.
- Bio-Inspired: For seeking efficiency or organic elegance.
- Cross-Domain: For triggering industrial revolutions.
- Future Backcast: For constructing unprecedented future scenarios.
- Academic Synthesis: For grounding ideas in cross-disciplinary research.
- Intuition Catalyst: For amplifying gut-level breakthrough insights.
Am I permitted to file patent applications for generated ideas?
Absolutely. As stipulated in the terms, ownership of the synthesized "seeds" resides with you. We recommend conducting your own final prior-art search to ensure the idea has not been previously patented by others.
Will my sensitive ideas be leaked through AI learning?
We do not utilize your input prompts or specific project data for the training of responses to other users. Our Lab holds the originality of individual invention in the highest regard.
Is specialized knowledge required to operate Ideactor?
No. The system is engineered for users ranging from students to serial entrepreneurs. Complex equations and jargon are unnecessary; your fundamental curiosities serve as the primary fuel.
What should I do if the system indicates "Reaction Instability"?
This suggests Ideactor has entered an extremely non-obvious domain, leading to a temporary overheat. Please pause briefly or re-attempt with a different angle for your input material.
Is compensation provided for failed real-world implementations?
Experimental failures are regarded as critical data points for future synthesis. While we cannot guarantee success, we provide the environment necessary to repeatedly iterate through Ideactor until a breakthrough is achieved.
IDEACTOR Operations Team · If you have further inquiries, contact us at support@ideactor.net