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

TL;DR — Algolia's 2026 Agentic AI framework leverages the Model Context Protocol (MCP) to transform search into actionable workflows. The approach addresses infrastructure needs across 17 global regions for autonomous retrieval. Tactical implication: Review the MCP specifications to prepare your data schema for agentic access.

TL;DR — HubSpot's December 2025 update introduces "Segment Analyze" to visualize overlap and growth, plus a Claude connector for direct CRM updates. The release also sets a March 16, 2026 sunset date for legacy Standard Sandboxes. Tactical implication: Enable "working hours" for Customer Agents to limit AI responses to business hours during initial rollout testing.

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.