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From AGENTS.md to Enterprise Deployment with Nick Kuhn Rethinking Communication for Human and AI Teams | Emergence Capital Comment: We just shipped support for the ugliest part of HTTP: Vary YouTube CEO Neal Mohan: Why We’re Betting On AI And Not Afraid Of It Tool: Gemini 3.8 TTS Playground Design Engineering with Maggie Appleton Parsing “Can” from “Should”: How Netflix's Product Team Got Thousands of Creatives to Trust an AI Overhaul 🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics) How to train your own Jev for $17 TBPN: John Coogan on agents, app interfaces, and advertising NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories From Enablement to Execution, Egypt’s AI Ecosystem Reaches Production Scale The Overhang No Code Is Code: Zapier CEO Wade Foster on Headless Tools, Zapier MCP & Automation Bench AI Skills with Matt Pocock Inside OpenAI’s First Chip How to get discovered in AI search Ali Ghodsi on learning as a CEO and evaluating management practices Anton Leicht on AI deployment, economic disruption and risk Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion The Home Depot When Everyone Is 10x More Productive, No One Is Voice Agent Function Calling: Real-Time Data Lookup Guide AI researchers debate how close we are to recursive self-improvement One resignation turned the embers of AI fear into a wildfire Computer-Use Agents and the Future of the Agentic Internet Building Codex with Tibo Sottiaux Simpler, outcome-based AI pricing AI, tools and transformation — Benedict Evans Forking Cal.com to closed source (Changelog Interviews #685) Katie Parrott on using ChatGPT for writing and career reflection From enterprise search to enterprise context: what AI agents actually need Ajeya Cotra on agent persistence, coordination, and benchmark cheating Making Cities Awesome: Peregrine’s Nick Noone & Ben Rudolph Exploring Static Embedding Retrieval Parallel’s Parag Agrawal: Building a New Web for AI Agents Real-Time Voice AI Stack for Agents: Architecture Guide Release governance: guardrails for agents at scale An Agent Is Just an LLM in a For-Loop When AI art has no author: MIT study finds generated images often can't be traced to any training data | MIT CSAIL The People Who Understand Don't Build. The People Who Build Don't Understand. | CrewAI GitHub Copilot app for Beginners: Write your first prompt Disney: The Renaissance and the Empire Reconstructing how OpenAI agents attacked Hugging Face The Philosopher CEO | Clay Co-Founder Kareem Amin Why Agentic Systems Need Ontologies — Frank Coyle, UC Berkeley Yash Poojary on automating growth experiments at Every Chris Pedregal on startups and work beyond meeting notes Kalshi’s Tarek Mansour vs. the Federal Government Harness Engineering for Self-Improvement Cartesia | A Guide to Choosing Voice AI Models The Walt Disney Company Demis Hassabis on Scientific Discovery and Personal Agency Jean-Baptiste Kempf on open-source code quality, maintenance and secure builds How to make remarkable videos with Seedance 2.0 – Replicate blog Jensen Huang on AI agent safety, leadership and trust Orchestrating Self-Evolving Agents with CrewAI and NVIDIA NemoClaw | CrewAI Palo Alto Networks ft Nir Zuk & Nikesh Arora - The Grudge That Transformed Cybersecurity Bolt ft. Markus Villig - From Bootstrapping in Estonia to a Global Leader in Mobility Supercell ft Ilkka Paananen - How an Early Pivot Led to ‘Clash of Clans’ and ‘Brawl Stars’ Lyft CEO David Risher on paying drivers more and the shift to robotaxis Trade Winds: The Rise, Reckoning and Reimagining of Vlad Tenev | Index Ventures 12-Factor Agents: Patterns of reliable LLM applications — Dex Horthy, HumanLayer Gen AI Present and Future: A Conversation with Jim Swanson, CIO at Johnson & Johnson | Greylock Dario Amodei, Amanda Askell & Chris Olah on AI Development and Safety Duolingo CEO Luis von Ahn thinks AI has a lot to teach us Pieter Levels on Bootstrapping Startups, AI Image Models, and Indie Development Runway Research | Introducing General World Models Publication yearAll dates 2026 2025 2024 2023 Filter this collection 1 people · 1 sources · 1 viewpoints
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01 Pay for outcomes, not tokens Eric Eyken-Sluyters 2026-09-29 Equal sectors are reading positions, not rankings.
01 Pay for outcomes, not tokens Eric Eyken-Sluyters · 2026-09-29 Showing 1–1 of 1 viewpoints · Newest sources first
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Pay for outcomes, not tokens Sierra’s pricing model ties cost to business outcomes—such as a loan refinanced, an insurance claim paid, a sale closed, or a customer retained—rather than token consumption.
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