How to Build a Sales Dashboard for Your Team in 10 Minutes

This tutorial walks through building a real sales dashboard from scratch using AccessAgent’s AI agent. The whole thing takes about 10 minutes. You don’t write any code — you describe what you want and the agent builds it.

What we’re building

A sales dashboard that shows:

Monthly revenue, deal count, and conversion rate at a glance
A bar chart of deals closed per week
A filterable table of recent deals

Prerequisites

A AccessAgent account (free at panel.accessagent.ai) or a self-hosted instance
That’s it

Step 1: Create a new project

The project appears in the left panel for everyone on your team immediately.

Step 2: Tell the agent what you want

The agent chat sits at the bottom of the center panel. Type your first message:

“Build me a sales dashboard. It should show three stat cards at the top: total revenue this month, number of deals closed, and conversion rate. Use a dark theme with a clean modern design.”

The agent starts working immediately. You’ll see it write files into your project workspace and the panel refreshes with each change. Within about 30 seconds you have a working dashboard with placeholder data.

Step 3: Add the chart

"Now add a bar chart below the stat cards showing deals closed per week for the last 8 weeks. Use Chart.js — you can pull it from CDN."

The agent adds Chart.js from CDN and wires up a bar chart. It creates realistic placeholder data so you can see exactly how it will look.

Step 4: Add the deals table

"Add a table below the chart showing recent deals. Columns: deal name, rep name, amount, stage, and close date. Make it filterable by rep name."

The agent adds a search input above the table and wires it to filter the rows client-side.

Step 5: Connect real data (optional)

If you have a real data source, ask the agent to connect to it:

"Replace the placeholder data with a fetch call to our internal API at https://api.company.com/deals. The response is an array of objects with fields: id, name, rep, amount, stage, closeDate."

The agent rewrites the data layer to fetch from your endpoint. It handles loading states and error handling automatically.

Step 6: Iterate with your team

Your teammates can see the dashboard in the left panel and open it. Use the team chat in the right column to collect feedback:

“Can we add a filter by date range?”
“The colours are a bit bright, can we tone them down?”
“Can you add a total row at the bottom of the table?”

Each request goes to the agent. It updates the dashboard in place, preserving everything else.

The result

In about 10 minutes, you have a polished sales dashboard:

Three stat cards with real data
An interactive chart
A filterable deals table
Live for your whole team to use

No drag-and-drop. No component library to learn. No deployments. Just a conversation.

Tips for getting the best results

Be specific about data shape. If you tell the agent what your API response looks like, it writes much better data handling code.

Iterate in small steps. “Add a chart, then add a filter” works better than asking for everything at once.

Ask the agent to explain what it built. “Walk me through how the chart data is structured” helps you understand the widget so you can maintain it later.

Use the team chat to track decisions. Drop a message explaining why you chose a particular design — your teammates will thank you.