{"podcast":{"title":"Code Story: Insights from Startup Tech Leaders","slug":"code-story","podcast_index_feed_id":735330,"rss_url":"https://feeds.redcircle.com/ac5e79a4-0405-49a3-af2c-02c37f0b3879","website_url":"https://codestory.co/","image_url":"https://media.redcircle.com/images/2025/5/14/20/c82c3282-f0a8-4b37-b210-96f7da10be1e_4061-b148-29cd200c3504_full_1568830220-artwork.jpg","author":"Noah Labhart - Startup Founder & CTO","episode_count":793,"summary":"Code Story is a startup podcast for technical founders building and scaling software products. Each episode features SaaS founders, engineers, and product leaders sharing how they built their product, found product-market fit, and navigated early-stage growth. We explore: Early engineering decisions and MVP development Landing the first customers Pricing and go-to-market experiments Scaling challenges and infrastructure bottlenecks Hiring the first team Lessons learned from growing a startup From first commit to first scale, Code Story focuses on the critical transition from building software to building a scalable business. If you’re a founder, engineer, or product leader interested in SaaS, startups, and scaling technology companies, this podcast breaks down how great products are built — and how they grow.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/code-story"},"episode":{"title":"S12 E14: Catalina Turlea, Lovelaice","slug":"s12-e14-catalina-turlea-lovelaice","published_at":"2026-04-14T10:00:28+00:00","page_url":"https://stenobird.com/podcast/code-story/s12-e14-catalina-turlea-lovelaice","show_page_url":"https://stenobird.com/podcast/code-story","url":"https://codestory.co/podcast/e14-catalina-turlea-lovelaice/","audio_url":"https://pdst.fm/e/pscrb.fm/rss/p/audio4.redcircle.com/episodes/c2ac4221-1192-4e27-874c-b0193d09d9af/stream.mp3","summary":"Catalina Turlea shares how her experience running a tech consultancy revealed a gap in how companies implement AI features. She explains the transition from identifying 'prompt-based' failures to building Lovelaice, a platform for validating AI product value.","meta_description":"Learn how Lovelaice helps product teams move from unreliable AI prompts to validated, high-value AI features through rigorous testing and user feedback.","key_points":["Main idea: Avoid the 'AI feature' trap where products rely on unoptimized prompts that fail to deliver user value","Practical takeaway: Use evaluation frameworks including deterministic tests and 'LLM as a judge' to validate AI performance","Failure mode: Building features based on founder assumptions rather than validated user pain points and real-world use cases","Strategic insight: Prioritize product smoothness and core value over adding unnecessary technical complexity or 'cool' features","Foundational advice: Validate that customers are willing to pay for a solution before committing significant engineering resources"],"chapters":[{"start_ms":60000,"title":"The Serverless Approach","summary":"Catalina discusses her philosophy of using existing infrastructure and AWS serverless to avoid reinventing the wheel."},{"start_ms":330000,"title":"From Consultancy to Founder","summary":"Reflecting on 14 years of product building and how consulting for various startups sparked the idea for Lovelaice."},{"start_ms":460000,"title":"Validating AI Features","summary":"How to use test datasets and multiple LLMs to find the best configuration without heavy engineering overhead."},{"start_ms":600000,"title":"Prioritizing Product Smoothness","summary":"The importance of focusing on user experience and making features seamless rather than just adding new capabilities."},{"start_ms":870000,"title":"The Evaluation Framework","summary":"Implementing error analysis and LLM-based judging as part of a continuous feedback loop with pilot customers."},{"start_ms":1150000,"title":"Scaling and Infrastructure","summary":"Lessons learned from scaling services from hundreds to hundreds of thousands of users using serverless architecture."},{"start_ms":1300000,"title":"Building Efficient Teams","summary":"Catalina's approach to leading a small, high-growth, and predominantly female engineering team."}],"topics":["AI Product Development","LLM Evaluation","Startup Strategy","Serverless Architecture","Product Validation","Software Engineering Management","Founder Journey"],"duration_seconds":1409,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/code-story/episodes/s12-e14-catalina-turlea-lovelaice/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/code-story/s12-e14-catalina-turlea-lovelaice.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}