What does it really mean to build AI agents in the real world, not just as demos, but as tools that save time, surface insight, and change how people work?

In this episode of PROMPTED: Builder Stories, Kyle sits down with Jason Burke, founder of AllStage and an experienced product builder and investor, to unpack how he thinks about AI agents and how he actually builds them. Jason shares how his background in engineering, product management, and early-stage investing shaped his approach to designing agent driven workflows that support founders, investors, and everyday life.

This conversation goes beyond theory. Jason walks through live examples of the agents he has built, including an AllStage business workflow agent that helps analyze investment opportunities, as well as personal productivity agents he created to solve real problems in his own life. Along the way, he breaks down what makes a workflow “agent ready,” where agents add the most value today, and why trust, risk, and human judgment still matter.

You will hear practical guidance on how to start building agents, why experimenting with personal use cases is often the best entry point, and how AI is lowering the barrier for anyone to become a builder. If you are curious about using AI agents to work smarter, think more clearly, or build something meaningful, this episode offers a grounded and inspiring look at what is possible right now.

Learn more and connect with Jason:

1. Jason on LinkedIn: https://www.linkedin.com/in/jmburke/
2. All Stage on LinkedIn: https://www.linkedin.com/company/all-stage-invest
3. All Stage Website: https://allstage.co
4. All Stage in All Stage: https://allstage.co/us
5. Deal analysis agent: https://agent.ai/agent/allstage
6. Company updates summarizer Agent: https://agent.ai/agent/allstage-company-updates-summary
7. Better prices/shopping assistant agent: https://agent.ai/agent/better-prices

Subscribe for more Builder Stories and visit agent.ai to start building your own agents.

What if the future of AI is not about learning more tools, building more workflows, or becoming more technical at all?

In this episode of PROMPTED we sits down with Jared Robin, Co-Founder of RevGenius, a global community of more than 60,000 go-to-market professionals, to explore where AI adoption is actually headed and why 2026 needs to be the year AI becomes human native.

Jared brings a rare vantage point, shaped by daily conversations with sales, marketing, RevOps, and customer success leaders who are navigating AI mandates, tool overload, and rising complexity. Together, they unpack why forcing GTM teams to become AI builders is the wrong long-term bet, why so many AI pilots fail, and how the next wave of AI tools must remove friction instead of adding it.

This conversation goes beyond tactics to focus on first principles. You will hear why creativity is becoming a competitive advantage, how human-native AI changes workflows for revenue leaders, and what strategic thinkers should focus on now as AI becomes easier to build but harder to stay ahead with.

This episode is especially relevant for GTM professionals who want clarity without hype, practical insight without heavy technical depth, and a clearer mental model for evaluating AI and agentic tools in the years ahead.

Topics covered include:

1. Why 2025 forced humans to become AI native and why that model breaks
2. What human-native AI actually means in day-to-day GTM work
3. The hidden cost and complexity of current AI tooling
4. Why data foundations still matter more than new tools
5. How creativity, category design, and strategy shape the future of AI adoption

Learn more and connect with Jared Robin:

1. Jared’s LinkedIn Profile: https://www.linkedin.com/in/jaredrobin/
2. His personal website: https://jaredrobin.com/
3. The RevGenius Website: https://www.revgenius.com/
4. The Post that kicked off this conversation: https://www.linkedin.com/posts/jaredrobin_2025-humans-need-to-be-ai-native-2026-activity-7402395343184699392-0KQR/

Subscribe for more conversations with builders, operators, and thinkers shaping the future of AI and go-to-market work.

Learn more about Agent.ai and explore practical AI agents at agent.ai.

What does AI actually look like in 2026?

In this special end-of-year Predictions episode of Prompted, Kyle James sits down with Matthew Stein to debate ten concrete predictions for where AI, agents, and go-to-market teams are headed next year.

This is not a hype episode. There are no demos and no buzzwords. Instead, Kyle and Matthew pressure test real second-order effects like:

1. Why AI onboarding will become standard practice
2. How model quality degradation and buyer fatigue collide
3. Why AI shows up directly in GTM job titles
4. What happens when personal context becomes portable
5. Why AI portfolios matter more than resumeas
6. How marketing video creation fundamentally changes
7. Why PageRank-style authority signals may return
8. The rise of zero-party data
9. Whether Anthropic beats OpenAI to an ads platform
10. Why most companies still struggle to show AI ROI

They also close with one wild bonus prediction that could reshape the entire AI landscape.

This episode is designed to spark debate.

Watch the full episode, then head to the comments and tell us:

1. What did we get right?
2. What did we miss?
3. Which prediction do you disagree with most?