The chatbot problem
Traditional chatbots are proxies for a single LLM. They take a customer’s message, add some context, send it to a model, and display the response. They can answer questions, but they can’t do things. A multi-agent system flips that model:| Chatbot | Multi-Agent System | |
|---|---|---|
| Architecture | Single LLM call | Team of specialized agents |
| Capabilities | Text responses only | Tool calls, handoffs, real actions |
| Scope | General-purpose | Each agent has a focused responsibility |
| Customization | Prompt tweaks | Full control over agents, tools, and orchestration |
| Observability | Black box | Traces with every decision, tool call, and handoff |
Our principles
- Set the state of the art. We move as fast as the AI landscape does. When better models ship, you get them. When new patterns emerge, we build them in.
- Success is in the details. Small things matter: response delays, inactivity timeouts, batched messages, environment variables. We obsess over the edges.
- Powerful but easy to use. You can build sophisticated multi-agent workflows without writing a single line of code. The dashboard handles everything.
- Your happiness matters. If something isn’t working, we fix it. Reach out anytime at info@lookfor.ai.
Who it’s for
Lookfor is built for Shopify brands that are scaling and need CX automation that actually works. Whether you’re handling 100 conversations a day or 10,000, the platform adapts to your needs.Quickstart
Get up and running in under 10 minutes.

