The daily briefing for AI marketers, growth hackers, and operators.

TL;DR — TLDR AI outlines Meta's strategy to secure energy for its AI initiatives through nuclear power agreements. Strategy: Establish partnerships for sustainable energy sources. Action: Evaluate energy needs for AI infrastructure.

TL;DR — TLDR AI discusses the importance of rigorous evaluation for AI agents to ensure reliability in production. Strategy: Conduct pre-deployment tests that simulate real-world conditions. Tools: Implement evaluation frameworks to minimize operational failures.

TL;DR — Kieran Flanagan highlights the impact of AI on marketing strategies. Strategy: AI democratizes marketing knowledge. Action: Marketers should leverage AI to experiment and innovate beyond traditional best practices.

TL;DR — Anthropic launched 'Cowork' for Claude Desktop, bringing agentic capabilities (file access, sub-agent coordination) to general knowledge work. It runs locally in a VM to execute multi-step tasks like organizing downloads or synthesizing research files. Tactical implication: Upgrade to Max and offload monthly reporting—ask Claude to 'read these 5 CSVs and generate an Excel report with VLOOKUPs and charts.'

TL;DR — Fullpath's 2026 Auto Intelligence Index reveals a 43% surge in dealership website traffic driven by LLMs in late 2025. Dealerships optimizing for AI agents collected 24% more consumer data points YoY. Tactical implication: Reallocate 10-15% of local SEO budget to 'Entity Optimization'—structuring inventory feeds and GMB profiles specifically for retrieval by OpenAI and Perplexity bots.

TL;DR — Growth hackers are using 'vibe scraping'—deploying LLM agents to extract qualitative data (e.g., 'find sites with a playful tone') from URL lists—replacing manual vetting. Early adopters report cutting lead qualification costs by 90% vs VA teams. Tactical implication: Build a simple Python script using Gemini 2.5 Flash to batch-process prospect URLs, filtering for 'vibe' signals that traditional scrapers miss.

TL;DR — MarTech outlines 5 priorities for 2026 measurement, urging a shift from tactical reporting to connected systems. 2026 demands integrating attention metrics and privacy-safe AI to validate incrementality beyond last-click attribution. Tactical implication: Audit current attribution models against the IAB’s 'Open Measurement SDK' standards to ensure mobile and CTV engagement is correctly valued.

TL;DR — Reddit unveiled 'Max Campaign', an automated media buying tool leveraging Community Intelligence to optimize bidding and creative. Early tests with Brooks Running delivered 37% lower CPC and 27% more clicks compared to manual setups. Tactical implication: Allocate 10-15% of social budget to Reddit Max for a 4-week 'set-and-forget' test against Meta Advantage+.

TL;DR — Home Depot scaled its 'Magic Apron' assistant with multimodal capabilities and launched 'AI Pro Materials Lists' that group items from simple voice/text prompts. New route intelligence now predicts delivery access blockers like narrow streets using Maps data. Tactical implication: Map complex purchase workflows (like project planning) and test an agentic 'list builder' wrapper around existing product APIs.

TL;DR — A r/marketing analysis highlights that blocking AI crawlers (robots.txt) severs a high-intent channel, with one case showing AI referrals converting at 4.4x the rate of organic search. Tactical implication: Audit robots.txt immediately to whitelist OAI-SearchBot, Google-Extended, and Applebot-Extended, treating them as 'high-value affiliates' rather than scrapers.

TL;DR — Authentic Brands Group (Reebok, Juicy Couture) reports 60% higher ROAS using 'Authentic Intelligence' agents on Vertex AI for creative generation. 80% of employees now use the platform weekly for tasks from licensing to legal. Tactical implication: Pilot a 'brand-specific' agent for ad creative generation (using LoRA/Gemini) and benchmark ROAS against manual creative for one quarter.