ai agents
most business software just stores things. we wire llm agents into the boring middle of a crud app so it acts on its own, and the form stops being something a person fills in and becomes something the system finishes.
Results at a glance
agentic workflows
an agent that reads the record, picks the right tool, acts, then checks its own work.
rag over your data
answers grounded in your own documents and tables instead of generic model guesses.
auto-triage
inbound leads, tickets and email sorted, tagged and routed the moment they land.
human-in-the-loop
anything risky waits for a one-click approval before it goes out.
AI agents and automation
LLM agents wired into an existing CRUD app so it reads the record, picks the right tool, does the task and checks its own work.
tools used
- LLM tool calling
- Retrieval-augmented generation
- Firebase
related work
what should stop being manual?
tell us the task your team repeats every day. if an agent can read it, decide on it and act on it, we can take it off your plate.
scope an agent