Sidenet Studio: build, evaluate and run in-product AI agents

A walkthrough of Sidenet Studio: configure an agent with memory, connect it into a network of specialists, run experiments against a golden dataset, and track the cost and value of every task your agents complete.

What the video shows

1. 01

   AI inside your product

   Your users ask a question where they already work and get a recommended action they can apply in one click — act, schedule, alert or automate without leaving your product.

2. 02

   Agents that remember

   Pick a model, write the system prompt and switch on working notes, long-term knowledge and conversation summaries so the agent carries context across sessions.

3. 03

   Networks of specialists

   An orchestrator hands each request to the right agent — pricing, forecasting, guest messaging — and the network view shows every handoff.

4. 04

   Run experiments

   Score a new agent version against a golden set of real questions for answer relevancy, faithfulness and hallucination before it reaches customers.

5. 05

   Agent operations

   See what your agents completed, what each task cost and the value it returned, per customer and per environment.