One Way to Build a Great AI Agent: Just Start With a Dashboard, Then Add the Agent | Saa Str AI

Overview

AI VC AI Mentor: Digital Jason + Amelia AI Startup Benchmarking

AI Agent Playbook Free e Books

	e Book: Hiring a Great VP of Sales
	e Book: Raising Capital
	e Book:  The First $1m ARR

Details

University All Posts Podcasts The Top CROs VC Fundraising Top Videos Q&A Best of Saa Str #1 Bestselling Book Search Everything Join the Community

Free e Books

	e Book: Hiring a Great VP of Sales
	e Book: Raising Capital
	e Book:  The First $1m ARR

AI Annual 2026 Events Overview Sponsors

	Event Sponsorship
	Media Sponsorship

Digital AI Day 2026 (Free) Speaker Submissions Speaker Requirements Overview

One Way to Build a Great AI Agent: Just Start With a Dashboard, Then Add the Agent

by Jason Lemkin | Artificial Intelligence (AI), Blog Posts, Saa Str. Ai

But if you want to build your own, here’s one simpler way to just … get going. Don’t start with the agent. Just start with an AI-enhanced dashboard you vibe code in an hour or two. Then keep iterating.

We’ve built more than 20 agents in production at Saa Str, and the same thing keeps happening. The ones we built ourselves didn’t start as agents. They started as a dashboard. Amelia and I come back to this constantly: build the dashboard first, get the data flowing, then add the agentic layer on top. Do it in that order and the agent has something real to act on.

QBee Did Not Start as an AI VP of Customer Success

None of that was the plan. That was never the plan.

Amelia’s goal in January was simple. Vibe code a better portal. Replace the thing that wasn’t working. The first spec was basic. Assign tasks, add single sign-on, build light reminders so sponsors knew what to do next.

That’s all QBee did for the first couple of weeks. A dashboard. And it was already better than the tool we’d been paying for.

Then we put it in production with real customers, and real data started flowing in.

This is the part people miss, and it’s the whole point.

The dashboard isn’t the boring prerequisite you get through on the way to the agent. The dashboard is the agent’s foundation. It’s the thing that captures and structures the data. And structured data is the only thing that lets an agent personalize and trigger.

Once QBee was capturing which sponsor had done what, the question changed. It went from “how do we display this data” to “what can we automate with this data.” The agent didn’t come first and then get data. The data came first and the agent emerged from it.

The Dashboard Becomes Your Headless Source of Truth

There’s a second thing the dashboard does, and it matters as much as the first.

A good dashboard doesn’t store the data itself. It pulls it, live, from everywhere it already lives. QBee reads contracts and account details from Salesforce, authentication from Clerk, registration links from Misbo, delivery status from Resend. 10K pulls pipeline, revenue, closed-won, sponsor status, campaign performance, and lead flow straight from the Salesforce API, then cross-references that against our registration systems, our marketing platform, and every vendor API we have. The dashboard hops across all of it and assembles one picture in real time.

And because it pulls from the APIs live instead of being a report someone built the night before, the number is the number. It ends the sales-versus-marketing fight over whose figure is right or which date range got used. Nobody argues with a real-time view that reads straight from the system of record.

That single, trusted, always-current view is exactly what the agent needs to act on. You can’t build an agent you trust on top of data you argue about. Build the dashboard that becomes the source of truth first. The agent inherits that trust.

Then You Add the Agentic Layer. One Step at a Time.

Once the dashboard is live and the data is real, you layer the agent on. Not all at once. Full autonomy on day one is how you blow things up in production. QBee’s layers went in this order:

First, personalized weekly emails to each sponsor, built off the data the dashboard was already collecting.

Then, triggered actions when a customer did or didn’t complete a task.

Then, internal team reporting with real-time visibility and gap analysis.

Then, proactive outreach for deadline enforcement and collections.

Every layer was possible only because the layer underneath it existed. The emails needed the task data. The triggers needed the emails. The reporting needed the triggers. You can’t shortcut up the stack.

10K, our AI VP of Marketing, runs as two apps. One is a strategic brain running in the background. The other is an operational dashboard that now runs our Monday meeting. The meeting no longer starts with someone pulling stale numbers the night before. It starts with 10K stating revenue for the week, the goals tied to the quarter, and the pipeline across channels, updating live as we talk. That operational layer is a dashboard first. The intelligence sits on top of it.

Same shape. Build the surface that holds the structured data. Then put the brain on top.

Build the portal. Deploy it to a few real users. Not all 100 at once. Amelia picked one account per tier, four total. Things broke with a contained blast radius. We fixed them before most of the customer base ever saw them.

Watch the data you’re generating. This is the step that tells you what the agent should be. You don’t guess the automations up front. You see them in the data once it’s flowing.

Then ask what you can automate, and add it one layer at a time.  Be it Claude or Replit or Lovable, they will have good ideas what automations to add once you have launched your AI-powered dashboard.

Buy an agent if you want a fast start. But if you’re going to build your own, don’t start with the agent. Build a dashboard that holds the data you wish you had. Get it into production. Let real data fill it.

The agent is what you build on top of that, once the data shows you what’s worth automating. Build it in that order and the agent has fuel. Build it in reverse and you’ve got a clever demo sitting on top of nothing.

Start with the dashboard. The agent comes from the data.

The Agents. Every week. Three humans, 20+ agents, one real 8-figure B2B and AI company.

Dear Saa Str: How Do I Build Conviction To Start a Startup?

New!! Check Out Saa Str's AI Agent Guide. The 20+ AI Agents We Use.

Dear Saa Str: Should I Hire More FDEs or CSMs for Our AI Agent Product?

Dear Saa Str: How Do I Build Conviction To Start a Startup?

New!! Check Out Saa Str's AI Agent Guide. The 20+ AI Agents We Use.

Dear Saa Str: Should I Hire More FDEs or CSMs for Our AI Agent Product?

Get from

Key Takeaways

• AI VC AI Mentor: Digital Jason + Amelia AI Startup Benchmarking

• AI Agent Playbook Free e Books

    e Book: Hiring a Great VP of Sales
    e Book: Raising Capital
    e Book:  The First $1m ARR
  

• University All Posts Podcasts The Top CROs VC Fundraising Top Videos Q&A Best of Saa Str #1 Bestselling Book Search Everything Join the Community

• Free e Books

    e Book: Hiring a Great VP of Sales
    e Book: Raising Capital
    e Book:  The First $1m ARR
  

• AI Annual 2026 Events Overview Sponsors

    Event Sponsorship
    Media Sponsorship