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The 20% Truth: AI’s Real Impact on Developer Productivity | Simon Obstbaum (Stanford, Crunchyroll)
Simon Obstbaum reveals Stanford's research on AI's impact on developer productivity, finding a 20% uplift with variances based on language and codebase complexity, in this interview.
16 Apr 2025
From Chatbots to Real AI Agents | Ragde Falcis (ChatGenie)
Everyone’s shipping copilots.
Ragde Falcis built something else: a real agentic system—used daily by thousands of customers.
In this episode of Fractional, we break down how ChatGenie:
→ Hit 90%+ accuracy without model fine-tuning
→ Uses multi-agent orchestration with reasoning and memory
→ Built eval loops and guardrails that actually scale
→ Tracks token-level usage to make the business work
→ Retrofits into Meta’s stack, CRMs, and internal HR workflows
→ Thinks beyond PH—and why that mindset shift matters
This isn’t another AI demo.
It’s the playbook for what actually works in production.
🎧 Listen if you're serious about:
Shipping agent-based systems
Scaling GenAI workflows
Or building infrastructure that survives beyond the hype
Built something real? You’ll need real help to scale it.
Swarm is a collective of AI-native consultants—builders, operators, and strategists from MAANG, YC, and Fortune 500s.
If you’re building your AI roadmap and need fractional support that actually ships, let’s talk.
🔗 https://swarm.work/?utm_source=fractional&utm_medium=podcast&utm_campaign=ragde_episode
20 Mar 2025
Using OKRs to Challenge Bad Leadership Decisions | Jeff Gothelf
"Most OKRs Are Just Tracking Failure"OKRs are supposed to drive success. But here’s what actually happens instead:1. Teams track effort, not results.2. Leaders set goals based on gut feeling.3. When things go wrong, strategy isn’t questioned—the team is."If your OKRs aren’t tied to behavior change, they’re just noise."Jeff Gothelf and I break down:1. How OKRs expose bad leadership assumptions2. Why most OKRs don’t actually measure success3. How to use OKRs to push back—without career risk4. Why customer behavior, not feature launches, should define success5. How product discovery should be continuous, not a one-time study6. Why designers, PMs, and AI teams need OKRs that track learning, not just output7. How to create a culture of continuous learning—where teams challenge assumptions, test ideas, and adapt fastBecause if your OKRs aren’t helping you challenge bad decisions, they’re useless.Jeff is a a leading voice and thought leader on customer centric product development. He helps organizations build better products and executives build the cultures that build better products. He is the co-author of the award-winning book Lean UX (now in it’s 3rd edition) and the Harvard Business Review Press book Sense & Respond. In 2020 he published the critically aclaimed book, Forever Employable.Starting off as a software designer then product manager and finally entrepreneur, Jeff now works as a keynote speaker, trainer, coach, and board advisor helping companies put the customer in the century of every decision.Most recently Jeff co-authored Who Does What By How Much?, his 5th book and 3rd with co-author Josh Seiden. This new book is the how-to guide for implementing Objectives and Key Results (OKRs) in every organization.Jeff's latest book (https://www.amazon.com/Who-Does-What-Much-Customer-Centric/dp/1732818444)Get access to our network of expert AI consultancies (https://swarm.work)
Reach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
YouTube views
54,815
Score snapshot 15 Sept 2025
Spotify
5.0 / 5
1 ratings
Podcast Authority Score: 45 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
Quality
35
Social presence
0
YouTube
76
Engagement
60
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