---
title: Building SaaS with AI Panel Discussion
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`LIVE PANEL DISCUSSION`

# Building SaaS with AI: *What Works, What Breaks, and What Not to Build*

`Wednesday, October 21 | 1:00–2:00 PM ET`

AI coding tools have made it remarkably fast to turn an idea into a working prototype. Turning that prototype into a production-ready capability is a very different challenge.

Join SaaS technology leaders for a live discussion about:

- Where AI coding tools create meaningful development leverage 
- How that leverage starts to break down on the path to production
- How to decide what your team should build, buy, or combine.

**If you are building with AI tools and hitting friction, you won't want to miss this. **

`Get on the list →`

THE QUESTION

# AI can help you build faster. *But what should you actually build?*

AI has dramatically lowered the barrier to creating new product capabilities. That creates more possibilities, but also new questions about what happens after the initial build.

**When does AI-assisted development deliver a real advantage? What changes when a prototype becomes a customer-facing product? And when does a fast build turn into something your team now has to maintain, secure, scale, and support?**

This panel will take a positive but practical look at building SaaS with AI—from initial development through production ownership.

# What We’ll Discuss

#### **What Works**

Where AI is creating meaningful development leverage, how teams are using it effectively, and the difference between disciplined AI-assisted development and vibe coding.

#### **What Breaks**

Why the path from prototype to production can expose complexity that was not obvious during the initial build—and what changes when that capability becomes part of a customer-facing product.

#### **What Not to Build**

How to decide which capabilities are worth building and owning, when a specialist platform makes more sense, and where a combination of build and buy can give teams the best of both.

# You’ll Leave With

A more practical way to evaluate AI-assisted product development based on the full lifecycle of what you are building—not just how quickly you can build the first version.

**We’ll explore how to:**

- Identify where AI creates meaningful development leverage
- Separate fast prototypes from production-ready capabilities
- Account for the ongoing cost of owning what you build
- Decide what differentiates your product enough to build yourself
- Recognize when buying or combining capabilities makes more sense

# Join the Conversation Live  

# Wednesday, October 21 | 1:00–2:00 PM ET 

Secure your spot

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