AI Agent Platform Case study
Agent.Press
The agent platform the engagement is built on: an LLM agent framework with an admin console, an extensible tool system and retrieval pipelines for running production assistants.
- Role
- Senior Full-Stack AI Engineer · Architecture & Platform
- Delivery
- Agent.Press engagement
- Disclosure
- Public product · Proprietary implementation omitted
- Links
- Product website
Verified proof
One agent runtime carrying several production client systems
The problem
What the system had to solve.
Every engagement needed the same foundation underneath it: retrieval, tool execution, conversation state and a console to configure and watch an agent from. Rebuilding that per client is where reliability goes to die.
What I owned
The responsibility behind the work.
Architected platform capabilities as a shared foundation and delivered client systems on top of them, so the same agent runtime carries several production products.
The Sage Intacct automation for Reis Contracting ships against the Agent.Press API, library and interface packages, so platform work and product work moved together rather than drifting apart.
Engineering approach
How it was built.
Worked across the agent runtime and its surfaces: configuration and conversation state, an extensible tool system, retrieval pipelines over a vector-enabled Postgres store, and the console and drop-in chat clients above the API.
Agent request path
- Request
- Context
- Tools
- Validation
- Result
Engineering scope
What I worked on.
- Agent configuration, tool execution and conversation state
- Retrieval pipelines over a vector-enabled Postgres store
- Console and drop-in chat surfaces above the API
- Client systems delivered on the platform
- Backend services, third-party integrations and release flow
Impact
The verified result.
Client systems ship against the platform packages rather than a private fork, so the ERP automation, the reporting workflows and the internal assistant share one runtime, one tool contract and one upgrade path.
Technology
The technical surface.
- TypeScript
- Next.js
- PostgreSQL
- Vector retrieval
- OpenAI
- Tool calling