01 // Identity

Iyanu Olugbosi

AI Systems Strategist | Designing Human-AI Workflows

I build the systems that bridge the gap between algorithmic competence and human execution. Combining technical structure with the psychology of influence to turn raw data into controlled outcomes.

Current Focus: Process Architecture
Location: Pretoria, SA

02 // Root Access

The Glitch in the Matrix

I was the anomaly in the classroom. While peers memorized the curriculum, I deconstructed it. Teachers often defaulted to the "smart but lazy" critique, missing the underlying truth: I wasn't avoiding work; I was optimizing energy.

I refused to run on flawed operating systems. My obsession wasn't just with doing things, but understanding why people do them. I wanted to decode the human algorithm.

Before AI, executing on this level of systemic ambition required a full C-suite of specialists. Today, that barrier has collapsed. I see an unserved market where Information Science meets Artificial Intelligence. Where I can leverage deep human understanding to architect systems that turn chaotic potential into predictable performance.

03 // The Logic

The Human in the Loop

An AI model is only as competent as the workflow it enforces.

My approach is rooted in Information Science: understanding how people act, why they do what they do, and leveraging that understanding to create systems where AI doesn't just generate text, but directs behavior.

I act as a translator between the rigid logic of machine code and the fluid nuance of human psychology.

04 // Output

Architected Systems

[CORE_PROTOCOL :: RUNNING]

Continuum: AI Progress Intelligence & The Hallucination Brake

The Business Problem: Stakeholders often drown in data but starve for the truth. Standard updates show activity but fail to prove actual progress, leaving leaders unable to tell the difference between "busy" and "done".

The Architectural Solution: A state-aware, "Physics-Based" Control Plane designed to manage data entropy. It transforms subjective human updates into objective velocity metrics.

01

Input Variables

[Signal Ingestion] Normalizes raw administrative and structural system data (commits, states) into verifiable truth anchors.

02

The Ghost Filter

[Value Audit] Identifies ephemeral tasks that simulate work but lack measurable output.

03

Efficiency Monitor

[Budget Audit] Tracks resource and cognitive expenditure against concrete deliverables.

04

Heartbeat Monitor

[Stagnation Audit] Detects task rigor mortis masquerading as active "in-progress" work.

05

Confidence Score Logic

[Reliability Index] Aggregates logic penalties into a final trust metric (0-100%), explicitly throttling unverified AI projections.

The Hallucination Brake: Driven by a Global_Confidence_Score. The system explicitly suppresses AI-generated summaries and outputs clear indicators of uncertainty if the underlying human data is weak, conflicting, or performative.

Architecture Deep Dive: Status Physics Matrix

State_Var	Ghost Filter (Value)	Efficiency (Budget)	Heartbeat (Time)
backlog	Pending logic classification	Frozen (Zero burn rate)	Inactive
todo	Strict ROI validation req.	Allocated forecast locked	Pulse check initialized
in_progress	Continuous alignment monitoring	Active burn rate tracking	High-frequency sampling
paused	Value decay analysis triggered	Burn paused, leak audit run	Alert: Stagnation risk
done	Final impact lock & verify	Actual vs. Forecast log delta	Terminated (Success)

Architecture Phase Active

[STATUS :: ARCHITECTING]

Currently mapping organizational bottlenecks and designing new human-AI workflows. Next system iteration pending deployment.

In Development

06 // Handshake

Let's Connect

Ready to architect the next generation of workflows? Let's analyze the requirements.

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