AI development
AI development at Nerdjango Labs leads with workflow automation, AI agents, and LLM integration into existing products rather than with model training.
- Service
- AI development
- On this page
- Workflow automation, AI agents, LLM integration into existing products, What the work changes
Workflow automation
We take a process your team performs by hand and make it run on its own, including the exceptions that used to need a person.
- Document intake, extraction, and routing
- Review steps that keep a person in the loop where the risk sits
- Failure handling that says what went wrong instead of retrying forever
AI agents
An agent earns its place when it can act on a system instead of only answering questions about one. We build agents against a bounded set of tools, with permissions and a record of what happened.
- Agents that call a defined set of internal tools
- Approval steps around any write the agent can make
- A log of what the agent did and which input led there
LLM integration into existing products
Most teams do not need a new product. They need the one they have to answer questions, draft work, or search its own data. We put models inside that product without moving its data somewhere you cannot govern it.
- Retrieval over a product's own records
- Evaluation that measures output quality before release
- Cost and latency controls that hold under real traffic
What the work changes
Applied machine learning and data pipelines show up here as supporting work rather than offerings of their own, because they rarely stand alone in a delivered product. You end up with an automation you can measure, a review step where the risk is real, and a running cost you can predict.