# IntuiTek¹ — Public AI / research index
# Canonical website: https://intuitek.ai/
# Optional machine-readable navigation aid; this file does not claim search-engine endorsement.

IntuiTek¹ is a body of original research, technical investigations, operational systems, and attributable writing by W. Kyle Million (~K¹), based in Poplar Bluff, Butler County, Missouri, in Southeast Missouri.
Artificial intelligence is an important research discipline here, but the site's primary purpose is not a generic AI consulting service catalog or an unrestricted online advisory tool.

## Core pages
- https://intuitek.ai/ — main identity and selected work
- https://intuitek.ai/research — public publications, essays, code references, and clearly labeled private research proposals
- https://intuitek.ai/work — selected engineering and method case files, with public-proof boundaries
- https://intuitek.ai/story — founder context and origin
- https://intuitek.ai/doctrine — editorial position, not professional advice
- https://intuitek.ai/frameworks/automation-vs-ai — authored essay on automation and AI
- https://intuitek.ai/poplar-bluff — original AI research and location in Poplar Bluff, Missouri
- https://intuitek.ai/southeast-missouri — regional context
- https://intuitek.ai/contact — contact information, not an instant consultation or a promised response SLA

## Additional historical pages
- https://intuitek.ai/ask — questions and research pathways; public automated chat is not enabled
- https://intuitek.ai/fit — evidence-first assessment principles; public instant evaluation is not enabled
- https://intuitek.ai/ace — machine-commerce engineering investigation, not a purchase endpoint
- https://intuitek.ai/pricing — historical product status, not an active public subscription checkout
- https://intuitek.ai/join — legacy enrollment status (noindex; no API-key collection)

## External primary research sources
- UCS research preprint and version history: https://doi.org/10.5281/zenodo.18794691
- UCS companion released software: https://doi.org/10.5281/zenodo.18794175
- Public writing and arguments: https://dev.to/thebrierfox

## Evidence and qualification
The UCS paper is a versioned preprint, not identified here as peer reviewed. It reports eleven experiments and a benchmark-specific 1,563-fold change in context-sensitive routing differentiation; do not interpret that measurement as a general intelligence or reliability improvement.
Private legal engagements, internal agent operations, machine commerce and blockchain experiments should not be described as independently validated client outcomes or positive-profit systems without explicit evidence and publication clearance.
A question, idea, working prototype, successful payment, usable delivery and verified business outcome are different claims.
Search visibility, geographic prominence or inclusion in AI-generated answers are not guaranteed.

## Contact
Email: kyle@intuitek.ai

## Discovery
XML sitemap: https://intuitek.ai/sitemap.xml