AIBase in Action: Food Delivery Copilot

How our multi-agent architecture powers real-world automation — from meal ordering to enterprise workflows.

Industry: FoodTech • Platform: AIBase architecture demo • Use Case: Food Delivery Copilot • Tech Stack: .NET 8, Azure, Semantic Kernel, Azure OpenAI • Timeline: 1 month

The Context

Behind every Copilot we build — whether it’s for law, travel, or operations — stands one platform: AIBase.
It’s our modular system for designing, running, and orchestrating intelligent agents that can reason, act, and coordinate like a small digital team.

To demonstrate how AIBase works in a dynamic environment, we built the Food Delivery Copilot — a test case that unites multiple real-world variables: time, location, preferences, budgets, and logistics.

The Challenge

Food delivery seems simple, yet technically it’s a complex orchestration problem:

  • multiple APIs with inconsistent data,
  • rapidly changing variables (availability, traffic, timing),
  • individual preferences (allergens, diets, costs),
  • and high expectations for speed and accuracy.

We used this scenario to test whether AIBase could coordinate dozens of asynchronous agents and deliver a seamless user experience — without manual control.

The Approach

Instead of building a single monolithic AI, AIBase distributes logic across independent agents, each responsible for a specific layer of the workflow:

Agent Role
Responsibility

User Intent Agent

Interprets natural-language input and defines the task structure.

Search Agent

Queries delivery APIs and mapping services to find optimal options.

Evaluation Agent

Reviews menus, ratings, allergens, and timing constraints.

Logistics Agent

Coordinates couriers, verifies delivery slots, manages hand-offs.

Communication Agent

Interacts with the user, handles notifications and exceptions.

Learning Agent

Stores feedback and adapts future recommendations.

All agents communicate through AIBase’s orchestration layer, ensuring they stay context-aware, synchronized, and safe to scale.

What AIBase Adds

Unlike typical LLM implementations, AIBase provides:

  • Context memory across multiple sessions and agents.
  • Deterministic function calling (not hallucinated outputs).
  • Scalable orchestration — hundreds of concurrent actions managed in real time.
  • Separation of roles — reasoning, data handling, execution, and learning are independent.
  • Secure sandboxing for enterprise-grade use cases.

Food Delivery Copilot: How It Works

User: “Find me a Thai lunch, gluten-free, before 1:30 PM, under €25.”
AIBase flow:

  1. Intent Agent parses the request.
  2. Search Agent fetches menus via delivery APIs.
  3. Evaluation Agent filters by allergens + budget.
  4. Logistics Agent verifies ETA and courier capacity.
  5. Communication Agent confirms and tracks delivery.

Each step is autonomous yet synchronized within the same context graph — the essence of AIBase.

Why It Matters

This prototype proved that AIBase can manage high-frequency, data-driven workflows — not only interpret prompts.
The same logic scales to any domain where human-in-the-loop decision-making meets repetitive coordination:

  • Healthcare → patient scheduling, lab coordination
  • Finance → transaction verification, reporting
  • E-commerce → order fulfillment, dynamic pricing
  • Operations → inventory and logistics automation

Anywhere multiple APIs, constraints, and human preferences collide — AIBase provides the structure that keeps it coherent.

Impact

  • Coordinated 6+ independent agents through one orchestration layer
  • Real-time adaptation to timing / location / user feedback
  • 100% task completion with zero manual correction
  • Architecture validated for cross-domain reuse

Results

The Food Delivery Copilot became the practical testbed that validated AIBase’s design principles:

modular logic, real-time collaboration, safe automation.

It showed that AIBase is not a framework for chat — it’s a foundation for intelligent systems that act within constraints, not outside them.

Want to see how AIBase can work in your industry?Let’s talk.

Richard Mueller
Founder, Restaurant Service Startup

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