The AI Playbook by Lattice Partners

How big is AI’s climate tab, really? This week on AI Playbook, Martin Anquetil, Christian Yeghnazar, and Colin McDonnell sit down with Landon Brand, co-founder and CEO of Wren, to talk about where AI and climate actually collide: carbon accounting, data center emissions, and the often-ignored water bill. Chapters 00:00 Intro 01:18 Who Wren is and what it actually does 04:12 Carbon accounting basics (what gets counted, what gets missed) 08:05 The hidden water bill behind AI and data centers 12:10 Where data center emissions really come from 16:45 What “clean energy mandates” could look like in practice 21:30 How AI can speed up renewable project development 27:05 Funding vetted climate projects, trust, and verification 32:40 Ethical data sourcing and accountability 38:15 Job displacement, new roles, and what “responsible AI” means here 43:50 Non-negotiables for data centers going forward 48:05 Rapid-fire: practical steps for teams and individuals 50:10 Wrap Guest: Landon Brand (Wren) Hosts: Martin Anquetil, Christian Yeghnazar, Colin McDonnell

Episode 4: The Lattice Partners team break down how they run their AI consulting firm and product studio, and why the best AI lives inside your workflows. Featuring: Martin Anquetil (https://x.com/anquetil) • Christian Yeghnazar (https://x.com/yeggic) • Colin McDonnell (https://x.com/colinmcdz) Show Notes: (0:00) Intro + what Lattice actually does day to day (4:20) Why “AI in the workflow” beats another standalone tool (9:10) Randy, a task-running AI agent for internal ops (16:40) Quick Ticket, a Chrome extension for turning UI moments into tickets fast (23:30) How internal tooling changes speed, quality, and client delivery (30:50) The piece that still matters most: human relationships --- The AI Playbook is created and produced by Lattice Partners in Los Angeles, CA.

Reach out for a free AI audit of your company: https://latticepartners.ai Episode 3: The Lattice Partners team discuss AI adoption and revenue-generating agents. Featuring: Martin Anquetil (https://x.com/anquetil) • Christian Yeghnazar (https://x.com/yeggic) • Colin McDonnell (https://x.com/colinmcdz) Show Notes: (0:00) Intro + the career fair reality check (4:30) Only 16% have used AI (10:20) Why AI feels ubiquitous (even when adoption is still early) (17:40) Jobs, displacement, and where the opportunities may be (26:10) From copilots to agents: what changes when AI takes actions (33:30) The rise of autonomous, revenue-generating online ventures (41:50) Takeaways: how to think about adoption + preparing for what’s next --- Links & Articles Mentioned: AI Agents Making Money: https://x.com/felixcraftai/status/2025280904088682857?s=46 2028 Global Crisis Thought Piece: https://www.citriniresearch.com/p/2028gic Citadel Rebuttal Piece: https://www.citadelsecurities.com/news-and-insights/2026-global-intelligence-crisis/ Agent Harnesses: https://x.com/allanyu_/status/2026778091301826832?s=46 AI Adoption: https://x.com/colinmcdz/status/2021069311792783610/photo/1 https://x.com/yeggic/status/2027114795577798901?s=20 --- The AI Playbook is created and produced by Lattice Partners in Los Angeles, CA.

Most companies are still struggling to understand how AI agents can genuinely transform their operations, but the big shift is happening now, with crypto wallets enabling AI to pay for itself and handle real-world transactions seamlessly. If you're curious about what’s next for AI-powered business, this episode uncovers the emerging world where agents go beyond simple automation to fund, buy, and grow autonomously all without traditional bank accounts.

Reach out for a free AI audit of your company: https://latticepartners.ai Episode 1: The Lattice Partners team (https://x.com/partnerslattice) debate the shift from humans hiring agents, to agents hiring humans. Featuring: Martin Anquetil (https://x.com/anquetil) • Christian Yeghnazar (https://x.com/yeggic) • Colin McDonnell (https://x.com/colinmcdz) — Show notes: (0:00) Intro (2:15) Chatbots → agent swarms (8:40) Real-world examples of AI + human workflows (15:05) Governance + risk in AI-native operations (22:30) Operating model + talent implications (31:10) Tooling + vendor strategy (38:20) Metrics + ROI (44:00) Key learnings