Future Proof: Building AI Products that Last
Claim This Podcastby Paragon
Podcast Authority
Beta
Podcast Overview
<p>Future Proof brings top Product and Engineering leaders in B2B SaaS, working on AI products, to share learnings, discuss challenges and the latest developments in the future of B2B software. Producer: Forrest Herlick Host: Ethan Lee </p>
Language
🇺🇲
Publishing Since
5/27/2025
Unlock The Full Podcast Authority Score Report
See how your podcast performs across key metrics
Podcast Authority
BetaRecommendations available
Unlock the full report to see detailed tips
Recommendations available
Unlock the full report to see detailed tips
Unlock comprehensive insights including:
- • YouTube presence analysis
- • Social media reach metrics
- • RSS compliance scoring
- • Podcast 2.0 features
- • Technical standards
Detailed Analytics
- Complete breakdown of all 19 authority metrics
- Personalized recommendations for each metric
- Industry benchmarks and comparisons
- Technical RSS feed analysis and compliance scoring
Growth Strategies
- Step-by-step action plans for improvement
- Quick wins to boost your score immediately
- Pro tips from successful podcasters
See how your show performs across every key metric
High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.
Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.
Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.
2 verified contact emails on file for Future Proof: Building AI Products that Last
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
April 14, 2026
AI in Finance: Solving the "Last Mile" Problem with Morten Bruun | Product at Hebbia
<p>How do you build AI for industries where "average" is a failure? In this episode of Future Proof, Morten Bruun, Member of Technical Staff and Product Manager at Hebbia, breaks down why off-the-shelf models like Claude and ChatGPT aren't enough for the high-stakes worlds of finance and legal.Morten shares his journey from co-founding Flash Docs (acquired by Happier) to developing a platform that manages terabytes of unstructured data for leading investment banks and law firms. We dive deep into:</p><ul><li>The "Last Mile" Challenge: Why 90% accuracy is effectively 0% for professional standards.Process Engineering: Moving beyond chatbots to create a "canvas" for team-specific workflows.</li><li>The SaaS-pocalypse: How software companies can differentiate as the cost of code drops to zero.</li><li>The Technical PM: How AI is compressing feedback loops and turning product managers into builders.</li></ul><p>Whether you’re a founder navigating the "SaaS-pocalypse" or a product leader integrating AI, Morten’s insights on winning trust in regulated industries are essential.Ready to scale your product’s integrations without the engineering overhead? Visit UseParagon to learn how to ship production-ready integrations in days, not months.Chapters00:00 - Meet Morten Bruun and Hebbia00:42 - From Flash Docs to Acquisition: Morten’s Journey03:15 - Why Finance Needs an Edge (The Problem with "Average" AI)05:18 - Process Engineering: Moving Beyond the 30,000ft View08:02 - The Retrieval Gap: Analyzing Terabytes vs. 20 Documents11:19 - Solving the "Last Mile" for Professional Standards14:19 - High-Stakes Outcomes: Why Precision Matters17:16 - The "Canvas" Model and AI Strategists21:54 - Surviving the SaaS-pocalypse: Differentiation in the AI Age25:49 - The Changing Role of Product Management and Technical Staff36:01 - Winning Trust in Highly Regulated Industries40:43 - Customer Empathy: Focusing on the "Job to be Done"</p>
March 11, 2026
Braze’s approach to the future of AI-powered personalization
<p>In the latest episode of Future Proof, we sat down with Kevin Wang, Chief Product Officer at Braze, to unpack how AI is reshaping the relationship between brands and consumers and what marketers need to do to stay ahead of the shift.We cover:</p><ul><li>Why the next big ad surface isn't search or social and how LLMs will know what you want before you ask</li><li>How personalization is evolving from coarse-grained categories to something closer to music taste than ice cream flavor</li><li>Why the real battle in AI-driven commerce isn't capability, it's who owns the consumer context</li><li>How Braze is using reinforcement learning and in-product agents to give marketers exponential strategic leverage</li><li>Why human-in-the-loop isn't going away and how the role of the marketer is shifting up the stack</li><li>What every major platform shift tells us about where brand-to-consumer relationships are headed next</li></ul><p>Highlights:00:00 — AI as the Next Big Ad Surface: Why LLMs Are Opening Up a Platform Shift Bigger Than Social04:30 — Spelling, Diction & Depth: How Agents Will Personalize Beyond What Facebook and Google Can See09:15 — Who Owns Your Preferences? The Battle Between Foundational Models, Retailers, and Consumers14:00 — Agentic Shopping and the Limits of Automation: Why People Still Want to Buy for Themselves19:30 — Braze's AI Decisioning Studio: Reinforcement Learning, Guardrails, and Offer Fit25:00 — Human-in-the-Loop: Why AI Is Also Really Good at Checking on Humans30:00 — Enterprise AI Adoption: AI Academies, On-Ramps, and Getting Comfortable with Experimentation36:00 — LLMs Are Not Deterministic: What Happens When Your Model Picks Its Own Magic Numbers41:00 — The Future of Brand-to-Consumer Relationships: More Personal, Not More DistantShip integrations 7x fater with Paragon.useparagon.com/?utm_source=spotify&utm_medium=organic_social</p>
February 17, 2026
Databricks’ Approach to MCP, Identity, and Control | Future Proof Ep. 12
<p>In the latest episode of Future Proof, we sat down with Elise Gonzalez, Staff PM at Databricks, to unpack how Agent Bricks and the MCP marketplace are shaping what enterprise-ready agents actually look like.</p><p>We cover:</p><ul><li>Why governance, audit-ability, and user-level identity are the real blockers to enterprise agent adoption</li><li>How MCP unlocked momentum — and why marketplaces, validation, and control are required to make it safe</li><li>When multi-agent architectures make sense (and when they just add complexity)</li><li>Why most MCP servers today won’t survive long-term — and what agent-native tools need to look like</li><li>How AI is changing who uses data platforms, not just what they build</li></ul><p>Highlights</p><p>(00:00) Multi-Agent Architecture From Microservices to Agent Supervisors<br />(02:12) Agent Bricks Overview Core Use Cases Extraction, Knowledge Assistants, Composition<br />(04:01) MCP Marketplace Discovery, Governance and Enterprise Control<br />(07:39) Validating MCP Servers Auth, Permissions and Auditability<br />(11:37) Preventing Data Leakage Tool-Level Controls and Safety Patterns<br />(14:58) MCP vs REST Rebuilding APIs for Agent-Native Workflows<br />(18:48) Multi-Agent Risks Privilege Escalation, Context Sharing and Debugging<br />(22:16) When to Use Multi-Agent vs Single-Agent Architectures<br />(30:13) Why Databricks Invested in AI Agents and Data Governance<br />(33:22) The Shift in Users Engineers, Business Users and Databricks One</p><p><br /></p><p>Ship integrations 10x faster with Paragon</p>
14 total episodes available
Deep-dive analytics for Future Proof: Building AI Products that Last
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Future Proof: Building AI Products that Last?
<p>Future Proof brings top Product and Engineering leaders in B2B SaaS, working on AI products, to share learnings, discuss challenges and the latest developments in the future of B2B software. Producer: Forrest Herlick Host: Ethan Lee </p> - How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.