Client name and project details are withheld under NDA. Visuals on this page are illustrative, not the client's product.
Three-Plus Years Building Agent Tooling, Integrations and Orchestration for an Australian AI Platform
- AI Development
- Web Platforms
- Integrations
Result
More than three years of product work across the agent builder, integrations, orchestration and evaluation, plus custom agents
Key Results
- More than three years as an engineering partner
- Agent builder and product UI in Vue.js
- Orchestration, model routing, evaluation and tracing in Python
- Integrations and custom agents built on the platform
Engagement
Over three years
Stack Highlights
The Challenge
"An Australian platform lets business teams build and run AI agents that handle real, repetitive work across sales, support and operations. Keeping a platform like that ahead means shipping constantly across the builder, the tools agents use, how agents work together, and how their quality is measured."
AI agents only earn trust if they're reliable. The platform needed an agent builder people without a technical background can use, integrations that let agents act inside other apps, orchestration for agents that work together, and evaluation, tracing and monitoring so teams can see what every agent did and whether it's getting better or worse.
Our Approach
Over more than three years we've worked across the platform: the Vue.js agent builder and product UI, Python services for multi-agent orchestration, model routing, evaluation, tracing and monitoring, integrations and tools that agents use, and custom agents built on the platform itself.
What we built
Contributions across four areas: the agent builder and product UI, integrations and tools, orchestration and evaluation, and custom agents built on the platform, all connected to the AI models the platform runs on.
How it fits together
Agent builder and product UI
An agent platform is only as useful as it is easy to build with. We worked on the Vue.js agent builder and product UI, so business teams can create and manage agents without waiting on engineers.
- Agent builder in Vue.js
- Product UI for creating and managing agents
Integrations and tools
Agents do real work only when they can act inside the apps a team already uses. We built integrations and tools that let agents read from and act in other business apps.
- Connectors to business apps
- Tools agents use to take action
Orchestration and evaluation
When several agents work together, someone has to coordinate them, choose the right model for each step, and check the results. We worked on multi-agent orchestration, model routing, evaluation, and tracing and monitoring, so teams can see what every agent did and whether its quality is holding up.
- Multi-agent orchestration
- Model routing
- Evaluation of agent runs
- Tracing and monitoring
Custom agents on the platform
Building on a platform is the best test of it. We've also built custom agents on the platform itself, which keeps the product work grounded in what real agents need.
- Custom agents built on the platform
- Product feedback from real agent builds
A long-term engineering partnership
More than three years in, DevForge works as an extension of the client's team across the product, from the interface down to the Python services and AI model integrations underneath.
- Over three years of continuous work
- Across frontend, backend and AI integrations
The Outcome
The platform keeps shipping, with DevForge as a long-term engineering partner across its builder, integrations, orchestration and evaluation, and the custom agents that run on it.
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