Live event

AI Superstream: Building SaaS Businesses with AI

The complete playbook for ideation, coding, security, and launch

Event description What you’ll learn Schedule

Event description

Are you ready to turn a raw concept into a live, intelligent SaaS product without wading through high-level theory? This event provides you with the practical steps toward delivering a truly smart, marketable application. Moving beyond integrating tools like ChatGPT, you’ll examine every phase of building with AI, from initial ideation and hands-on coding to launch, security, and marketing.

Join Jason Gilmore, CTO of Adalo, and a select group of AI specialists to study the modern development stack through case studies and code integration. Software developers and entrepreneurs will get the information you need to start building your intelligent SaaS business.

What you’ll learn and how you can apply it

  • Identify high-value AI features and structure your product for a clear competitive advantage
  • Watch live, building-from-scratch demonstrations that show you exactly how to integrate AI code into your application
  • Master the unique challenges of QA and security when launching products powered by AI
  • Get a practical playbook for defining your product’s value proposition and effectively marketing an intelligent SaaS solution to your target users

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Introduction – Jason Gilmore (5 minutes)

  • Jason welcomes you to the AI Superstream.

Keynote – It’s Not Vibe Coding If You Know What You’re Doing – Jeff Blankenburg (20 minutes)

  • You’ve all heard stories about how people are using AI to create entire software projects. In every case, Jeff Blankenburg, principal developer advocate at Dynatrace, had nothing but skepticism. Until he tried it. Jeff shows you how he created collectyourcards.com from the ground up in less than two weeks—without writing a single line of code. You’ll learn about effective prompting, the tools Jeff has had the most success with, and the do’s and don’ts of coding with AI.

Everyone Has a Plan Until You Get Punched in the Mouth: Rapidly Iterating on Your Ideas in the Age of AI – Jason Gilmore (35 minutes)

  • What does a world where AI agents can build functional SaaS MVPs in hours mean in terms of building a successful business? Absolutely nothing. Both everything and nothing at all has changed when it comes to creating products that users are willing to pay for. Jason Gilmore, serial SaaS product builder, explains how he quickly proceeds from idea to market testing to MVP building to paying customers, using decades of software industry experience and a selection of AI tools to rapidly iterate from idea to reality.

Break (5 minutes)

From Prompt to Product: Making AI Features Roadmap-Friendly – Abe Dearmer (35 minutes)

  • The hardest question in AI product development isn’t “Can we build this?” Rather, it’s “Should we build this or buy it, and what happens when that decision blows up in our faces?” Sendspark has shipped AI features that let sales teams record one video and personalize it for thousands of prospects. Along the way, the company learned that planning AI features requires a different calculus: You’re managing not only technical risk but also vendor risk, capability risk, and the very real possibility that your core infrastructure disappears with 30 days’ notice. Abe Dearmer, Sendspark’s CEO, experienced the latter disaster firsthand and aims to help you avoid it. He provides a practical framework for making build-versus-buy decisions on AI capabilities, discusses how to structure vendor relationships that don’t leave you exposed, and shares how to build roadmaps that account for the unique uncertainties of AI-powered features.

You Wouldn’t Let a New Developer Sling Code at Production Without Guardrails, Right? Right?!? – Patrick Wyatt (35 minutes)

  • Using an AI coding agent is like having an overexcited PhD on your team who doesn’t worry about defects, so finding mechanisms to validate correctness and corral exuberance is essential to protecting users from an agent’s worst impulses. Game industry pioneer Patrick Wyatt details the types of automated solutions he uses to write better code faster using AI.

Break (5 minutes)

Quality and Security: Master the Unique Challenges of QA and Security When Launching Products Powered by AI – Chris Lalonde (35 minutes)

  • Chris Lalonde, CEO of DBGorilla, offers a look at the real-world considerations that come with building an AI-powered SaaS product from the ground up. He’ll explore the principles, development practices, and lessons learned that have helped the company’s team keep code secure, protect customer data, and ship quickly using AI-centric development workflows.

From Commits to Campaigns: Using AI to Automate the “Marketing” Step of Software Delivery – Brian Sierakowski (35 minutes)

  • Most teams treat the marketing of a new feature or improvement as an afterthought. But the moment code changes, your go-to-market machine should already be moving: enablement, release notes, changelogs, customer updates, docs nudges, and sales/support readiness. But that work usually depends on humans chasing context across PRs, Jira, PRDs, and Slack, meaning updates go out late, inconsistently, or not at all. Brian Sierakowski, founder and CEO of Changebot, shows you how to use AI to turn real product work into clear, on-brand, multichannel messaging. You’ll learn how to connect AI to the source of truth, translate technical change into customer value, and generate outputs tailored to each audience you need to reach.

Closing Remarks – Jason Gilmore (5 minutes)

  • Jason closes out today’s event.