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

TL;DR — Algolia outlines best practices for building agentic AI systems. Strategy: avoid custom integrations that slow down development. Tools: leverage existing frameworks to streamline implementation.

TL;DR — MarTech highlights HubSpot's latest updates aimed at enhancing marketing efficiency. Tools: new AI features improve segmentation and reduce manual CRM tasks. Action: utilize smarter segmentation to target campaigns effectively.

TL;DR — Salesforce outlines how growing businesses can scale using agentic AI solutions. Strategy: implement AI solutions without compromising trust. Action: evaluate AI tools to enhance customer engagement.

TL;DR — TLDR AI breaks down the shift towards real-world applications of AI tools. Tools: utilize AI like Claude Cowork for operational efficiency. ROI: measure the impact of AI on productivity.

TL;DR — Jeanne Jennings (Georgetown University) proposes a 'disclosure continuum' based on Context, Consequence, and Audience Impact rather than binary labeling. While internal segmentation requires no disclosure, high-consequence external content—like realistic human images—demands transparency to maintain trust. Tactical implication: Adopt this 3-part framework to filter 'disclosure noise' and only label AI use that materially affects consumer perception.

TL;DR — Typeface CMO Jason Ing warns that 'AI silos' are replacing data silos as the primary threat to efficiency. Integrating AI directly into campaign workflows—rather than treating it as a standalone tool—transforms it from a utility to a partner. Tactical implication: Audit current campaign creation processes to identify manual handoffs that agentic AI can automate.