Interfaces are live dashboards your agents power. Instead of shipping a one-off report and forgetting about it, Interfaces let you turn an agent’s recurring work into a continuously-updated view your whole team can open.Documentation Index
Fetch the complete documentation index at: https://docs.hyperfx.ai/llms.txt
Use this file to discover all available pages before exploring further.
When to use this
Use an Interface when:- An agent is producing output on a recurring basis (daily, weekly) and you want a stable place to see the latest
- You want to share status with stakeholders without forwarding individual messages
- Multiple people need to see the same data, without each running their own query
- The data lives in Hyper Database and you want a visualization layer on top
- A daily Reddit-monitoring agent populates an Interface with the top mentions, sentiment, and competitor moves
- A weekly campaign-performance agent maintains an Interface showing CPA, ROAS, and creative winners across platforms
- An outreach agent shows live pipeline status — leads added, contacted, replied, closed — to the sales team
- An ICP-research agent builds an Interface showing the latest target accounts and their fit scores
Creating an Interface
Pick a data source
Connect to a Hyper Database table, an agent’s output stream, or both.
Lay out the view
Add cards, tables, charts, and timelines. Each is bound to live data — when the underlying source updates, so does the Interface.
Building Interfaces by chat
Like most things in Hyper, the fastest way to build an Interface is to ask:Updating Interfaces
Because Interfaces are bound to live data:- When a task runs and writes new rows, the Interface updates automatically
- When you add a new column to a Hyper Database table, you can drag it onto the Interface
- When the agent’s logic changes (new metric, new segmentation), tell the agent and it’ll update the binding
Going further
- Power Interfaces with Hyper Database for structured records
- Schedule the underlying data refresh with a task
- Combine with Knowledge Bases for context-rich dashboards (e.g. “show last week’s metrics, plus the framework we use to interpret them”)