Decision infrastructure
Kingan Logical State and related systems maintain product state, evidence, claim ceilings, environment identity, handoff and next movement across long-running software work.

Building and testing decision infrastructure for AI-assisted and real-world systems where evidence, state, authority, correction and action cannot safely be collapsed into one answer.
My current work sits at the intersection of software product architecture, AI evaluation, human–AI continuity, operational intelligence and domain-specific decision systems. The products are built primarily in private repositories with deterministic testing, hosted CI, containerized execution, external cloud validation, provenance controls and bounded experimental claims.
Kingan Logical State and related systems maintain product state, evidence, claim ceilings, environment identity, handoff and next movement across long-running software work.
Long-horizon state, correction and map-preservation work aimed at reducing repeated human reconstruction and preventing useful context from being flattened into generic memory.
Real-estate, alternative-asset, logistics and disaster-risk systems where the same evidence/state discipline is forced to survive different physical and operational domains.
Experiments on decision quality beyond answer accuracy, feedback and repair, benchmark validity, authority preservation, correction burden and evaluator behavior.
A current controlled program has completed 192 model generations, 96 canonical blind evaluations and 24 assisted human-calibration cases. The accepted treatment did not demonstrate aggregate governance lift, but mechanism analysis localized partial repair alongside collateral authority damage. The next prospective work is designed from that failure rather than around it.
The public system pages describe the problem, current implementation surface, evidence state and current claim ceiling without exposing protected mechanics.
Product-development state and evidence infrastructure with a bound 890/890 hosted deterministic regression and later external-provider gates still separate.
Long-horizon map preservation and a repaired blinded evaluation instrument that deliberately separates provider packet from hidden scorer.
Claim/proof custody and bounded repair with targeted and full CI evidence while preserving process defects and release gates.
Advanced productization across authenticated browser behavior, accessibility, security, container reproducibility and current Azure/IaC work.
A 100-file source-complete candidate around governed physical-asset identity, evidence, custody, market state and expert routing.
A durable validated engine with hosted CI/artifact/security/container evidence and continuing outcome-feedback/release work.
Actual product-owned live NWS ingestion in AWS plus a separately governed external evaluation program.
The public identity does not need to imitate an academic lab or a generic Silicon Valley founder profile. The software is technical; the person building it is still a country boy from Alabama with a long operating career.

Before building AI and decision software, I spent more than two decades in multifamily real estate, asset management, portfolio improvement, training, turnarounds and high-volume operations. Those environments taught me to care about early variance, physical evidence, operational sequence and the cost of acting from the wrong state.
That is still the center of Kingan Logic: use the technology, but do not let the technology erase the environment it is supposed to understand.
These are operating credentials, not presented as computer-science credentials. They explain the environments that shaped the product problems.
Building the current family of AI-enabled decision, validation and predictive software systems.
Senior property and portfolio-improvement work including distressed-asset recovery, stabilization, operating strategy and cross-functional leadership.
Multifamily repositioning and asset-management operations across high-value California markets.
Launch, marketing, contractual and management-practice support for an emerging real-estate platform in Dubai.
Built leasing, training and operating capacity during institutional REO-to-rental expansion, supporting rapid portfolio scaling.
Large multifamily portfolio operations, receivership/disposition work, lease-up strategy, expense improvement and turnaround execution.
I am open to bounded paid pilots, data-bearing evaluations, research replication, infrastructure partnerships and aligned strategic conversations when the relationship advances a real gate rather than creating activity for its own sake.
I am preparing research for scholarly submission while continuing private product development. Public research surfaces will expand as claims, disclosure boundaries and publication routes mature.
Research interests include AI evaluation, human–AI decision systems, decision integrity, benchmark validity, state preservation, correction burden, operational intelligence and domain-specific predictive systems.
Kingan Logic / Max R.O.I. LLC
Birmingham, Alabama, United States