AI Agent Development
Agents that reason over business context, call tools, respect approval rules and execute multi-step work.
- Tool calling
- Human approval
- Audit trails
AI AGENTS · AUTOMATION · SOFTWARE SYSTEMS
I design practical AI agents, business workflows and production software that connect tools, reduce repetitive work and give teams more operating leverage.
WHAT I BUILD
I focus on useful systems: fewer manual handoffs, cleaner data flow, faster response times and controlled automation.
Agents that reason over business context, call tools, respect approval rules and execute multi-step work.
Connect repetitive workflows across email, forms, spreadsheets, CRMs, queues and internal systems.
Web interfaces, backend services and APIs designed around operational requirements instead of generic templates.
Connect models, tools and private business data behind a controlled integration layer with fallbacks.
Automate reporting, triage, document processing, dispatch and other repeatable operational tasks.
Technical design that balances delivery speed with security, maintainability and future scale.
SELECTED WORK
These projects show the kind of architecture I work on: logistics, governed decision systems, security and AI-assisted operations.
A modular logistics platform spanning inventory, orders, shipments, dispatch, drivers, payments, approvals, audit and an AI control plane.
A governed credit-passport and risk-evaluation platform built around masked identity data, consent, auditability, deterministic contracts and secure API workflows.
An AI-assisted endpoint and network-defense concept combining monitoring, governed analysis and operator-controlled response workflows.
PRACTICAL AI AGENTS
A useful agent is more than a chat window. It needs business context, controlled tool access, approval boundaries, recovery paths and logs you can inspect.
WHERE AUTOMATION PAYS
Typical automation targets are repetitive, rules-driven, time-sensitive or spread across too many tools.
Capture, enrich, qualify, route and follow up without losing context between tools.
Extract information, classify files, generate structured summaries and trigger next actions.
Coordinate queues, alerts, approvals, dispatch, reporting and exception handling.
Search company information and return grounded answers with clear source boundaries.
ABOUT ZEBEDEE
I'm the founder and CEO of Zebedee Korie NIG LTD and the builder behind Zeberike. I live in Duisburg, Germany, and work with business owners in Europe, Africa and beyond, in English, German and Igbo.
I design and build AI agents, business automation and backend software: assistants that answer customers, workflows that send invoices and reminders, and systems that connect the tools a business already uses. My own projects include an AI-agentic logistics platform, CrediPass Nigeria (a consent-based credit-passport platform) and AI-assisted cyber defense.
I also know what's at stake when things go wrong: my own social media account was once hacked and misused. That's why security, privacy and human approval are built into everything I deliver, not added later.
See my work and daily AI tips: Facebook ↗ · GitHub ↗ · Codeberg ↗
HOW I WORK
A structured build process keeps the business requirement, architecture and implementation connected.
Map users, workflows, systems, constraints and success criteria.
Define architecture, data boundaries, permissions and approval rules.
Implement the core system with testable contracts and clean interfaces.
Connect models, APIs, data sources and operational tools.
Measure results, inspect failures and evolve the system deliberately.
START A PROJECT
Tell me what is slowing the business down, what systems are involved and what a successful result looks like.