AI & Intelligent Agents
Prototype an assistant around a defined task, with retrieval, memory rules, and a way to review its output.
- A defined task and human review points
- Retrieval from approved information
- A prototype that can be evaluated
Explore our three practice areas and the architecture patterns behind them.
We start with the workflow and its constraints. A first engagement can be a scoped prototype, a deployment plan, or an integration design.
Prototype an assistant around a defined task, with retrieval, memory rules, and a way to review its output.
Plan or implement a small web service and its deployment path, including configuration, releases, and basic operational checks.
Map a repetitive handoff between tools, then build an API or webhook flow with validation and recovery paths.
Scope and evidence come before a broad technology promise.
A bounded assistant flow, the information it may use, and a review path for uncertain answers.
Documented endpoints and a clear mapping between the systems being connected.
A trigger-to-result workflow with validation, retries, and a visible failure state.
A small runnable prototype and a list of what it proves, what it does not, and what comes next.
A deployment path with configuration, release steps, and simple checks that fit the project.
Concept diagrams for common project shapes. These are examples, not claims of completed client deployments.
Users→Cloudflare edge→API / Worker→Data store
Example only: an edge-to-data path with monitoring and a repeatable release.
Source systems→Webhook→Validate & transform→Destination APIs
Example only: an event-driven sync flow with retries and failure alerts.