AI-Native Product Engineer · Agentic Systems Builder
AI-Native Product Engineer and Agentic Systems Builder creating production software across enterprise operations, automation, education, decision intelligence, financial intelligence and autonomous business systems.
Shipped products
Development
Domains
Software
Systems in motion
I build software where intelligence moves through explicit stages: receive the objective, coordinate the work, execute within bounded tools and verify what happened.
const objective = await intake.receive();const plan = await planner.decompose(objective);const events = orchestrator.dispatch(plan);const result = await agents.execute(events);const verified = verifier.check(result);if (!verified.ok) recovery.retry(verified);audit.record({ status: verified.status });Selected Work
These are not concept screens or speculative prototypes. They are working software products built to solve real problems across business, operations, education, decision-making, financial intelligence and customer acquisition.
01 · Digital Workplace & Executive Intelligence
A complete remote work environment where distributed teams can collaborate, communicate and execute work while organizations gain automated reporting, KPI monitoring and executive insight dashboards.
02 · AI Opportunity & Revenue Intelligence
Find opportunity. Act on it. Generate revenue.
03 · Autonomous Customer Acquisition
Turn a business website into a 24/7 customer acquisition system.
04 · AI Decision Intelligence
Don't just ask AI for an answer. Build a better decision.
05 · AI-Powered Learning
Make learning intelligent, structured and personal.
06 · Financial & Valuation Intelligence
Turn complex valuation work into an intelligent digital workflow.
07 · Knowledge & Learning
Transform knowledge into an experience people can explore, study and use.
Engineering methodology
Systems thinking means deciding where intelligence belongs, where deterministic controls must remain in charge and how the whole system behaves when reality is messy.
Understand the actual business or operational problem before selecting technology.
Identify entities, workflows, states, events, responsibilities and interfaces.
Determine the components and boundaries required to make the system reliable and maintainable.
Determine where probabilistic AI provides value and where deterministic software must remain in control.
Design how information, decisions and work move through the system.
Define security, policy, permissions, validation and execution boundaries.
Determine how the system knows whether an output or action is valid.
Design retries, recovery, degraded modes and safe failure behavior.
Validate important behavior rather than relying on visual success.
Move the system from development into a working deployable environment.
Selected Product Engineering
I use AI-native development to compress the distance between an idea and a working production system. AI accelerates implementation, exploration and iteration, while product judgment, architecture, validation and system ownership remain human responsibilities.
Problem
Architecture
Build
Intelligence
Validation
Deployment
Capabilities
Software that connects workflows, people, data and decisions.
Systems that can reason through workflows, take actions and move processes forward.
Production applications designed around AI capabilities from the beginning.
Systems that help people structure information, evaluate options and make better decisions.
Moving from complex problem to architecture and working software with unusually short feedback cycles.
Method
AI accelerates my development process. It does not replace engineering judgment.
Understand the business problem and desired outcome.
Define product architecture, workflows, data model and system boundaries.
Use AI coding agents and modern development tools to accelerate implementation.
Test, debug, inspect and challenge the generated implementation.
Move the working system into a usable production environment.
Improve the product through continuous refinement.
AI accelerates my execution. Product judgment, architecture and responsibility remain mine.
The big idea
Software is moving beyond helping people perform tasks toward systems capable of understanding context, making decisions and taking responsibility for meaningful outcomes.
Wisdom R. Jonathans
I build intelligent software systems at the intersection of product thinking, systems architecture, AI-native development and rapid execution.
As Founder & CEO of Soteria AI Technologies, I work across enterprise operations, automation, education, decision intelligence, financial intelligence and autonomous business systems.
Global perspective
The products span enterprise operations, education, financial intelligence, decision-making, knowledge systems, opportunity discovery and autonomous business workflows.
Contact
If you're working on a complex problem that deserves more than another conventional software implementation, let's talk.
I don't just write software.
I build systems that can do things.