AI That ACTUALLY Ships: JSON, Voice Agents, MCP, and Software Developer Real-World Pitfalls скачать в хорошем качестве

AI That ACTUALLY Ships: JSON, Voice Agents, MCP, and Software Developer Real-World Pitfalls

What do JSON and conversational AI have in common? They are the glue behind ordering coffee, booking flights, and talking to support. In our tests, about 1 out of 3 replies missed the intent until we enforced structured JSON outputs. Listen on Spotify or wherever else you listen to podcasts! https://open.spotify.com/episode/1Vlf... In this episode, Danny Thompson and Leon Noel break down how to move from “cool demo” to production systems that route, escalate, and self-audit reliably. SITE https://www.programmingpodcast.com/ 💡 Sponsor: Level Up Financial Planning Changing careers or increasing your income? Get financial clarity with Level Up Financial Planning—helping early and mid-career tech professionals secure their financial future. Visit LevelUpFinancialPlanning.com for a free consultation! https://www.levelupfinancialplanning.... Stay in Touch: 📧 Have ideas or questions for the show? Or are you a business that wants to talk business? Email us at dannyandleonspodcast@gmail.com! Danny Thompson https://x.com/DThompsonDev   / dthompsondev   www.DThompsonDev.com Leon Noel https://x.com/leonnoel   / leonnoel   https://100devs.org/ 📧 Have ideas or questions for the show? Or are you a business that wants to talk business? Email us at dannyandleonspodcast@gmail.com! What you’ll learn Why freeform paragraphs fail backends and how JSON fields fix routing A simple schema pattern: department, sentiment, confidence, reply Confidence floors that trigger automatic retries before users ever see a response Context windows: why rules are read every call while context gets dropped MCP basics and how domain context avoids bad translations and metaphors Where voice agents work today (predictable conversations) and where they do not Practical tool choices for text, code, and voice workflows Real labor impacts, retention insights, and reskill advice Salary negotiation quick hits: the two lines that matter Chapters 0:00 JSON as the glue + the 1-in-3 miss 0:30 Intro & episode promise 1:10 Quick defs — JSON / NLG / NLU / MCP 3:00 Why structured JSON beats paragraphs 7:36 Confidence scores & auto-retries 9:02 Sponsor 11:34 Prompts for image/video models that actually work 15:01 Context windows & durable rules 16:32 Repo trees, PRDs & dev logs to reduce spin 20:02 MCP in practice, local dialects & domain knowledge 26:03 Voice agents, predictable vs unpredictable conversations 32:43 Voice mode as a research partner & model picks 33:01 Jobs impact, retention stories & reskilling 37:10 Conversational AI 101, coffee shop flow to backend 40:05 Connectors & phone/drive-thru stacks (Agora, 11 Labs) 46:04 Real-world rollouts, employee retention boost 48:13 Call centers & debt collection case study 51:27 Predictable vs messy conversations — where AI fails 53:24 Career CTA, learn JSON, MCP, voice stacks 57:01 Ask Danny And Leon A Question 1:07:10 The Developer's Guide To AI