Link Archive
January 18, 2026
3 strategies for killing AI slop in your email copy
Highest rated content by MarTech Read time: 4 minutes · Marketing
Score: +3450
Data from Jay Schwedelson shows AI-sounding language directly correlates with lower email engagement rates. MarTech outlines a three-step defense: mandatory messaging briefs, structure-first editing (AIDA for leads, PAS for mid-funnel), and line-level 'sweeps' adapted from Copyhackers. Tactical implication: Implement a 'Rule of One' sweep on all LLM drafts to ensure every sentence conveys exactly one idea before approval.
B2B marketers trust AI for execution but not strategy
by MarTech Read time: 4 minutes · Marketing
Score: +3260
MFS's '2026 State of AI' report finds 78% of B2B marketers use AI for task execution, yet only 6% trust it for brand positioning. While 71% plan to increase AI spend, the majority limit use to tactical efficiency rather than strategic decision-making. Tactical implication: Audit 2026 roadmaps to identify one low-risk strategic pilot (e.g., competitor analysis) to bridge the trust gap beyond simple content generation.
January 17, 2026
How Shopify and Google built the Universal Commerce Protocol (UCP) so AI agents can transact with any merchant
Highest rated content by TLDR AI Read time: 4 minutes · Marketing
Score: +3000
Shopify and Google co-developed the Universal Commerce Protocol (UCP) to facilitate transactions between AI agents and merchants. Strategy: UCP defines discovery and negotiation mechanisms. Automation: This standard enhances AI's ability to interact with various merchants seamlessly.
Understanding Manus sandbox - your cloud computer
by TLDR AI Read time: 4 minutes · Marketing
Score: +2900
Manus outlines the capabilities of its Sandbox, a cloud virtual machine designed for isolated task execution. Workflow: Each task runs in its own environment, allowing for parallel execution. Tools: The sandbox supports full capabilities for AI development, enhancing efficiency.
Is AI becoming another data plumbing project?
by TLDR AI Read time: 4 minutes · Marketing
Score: +2800
CData highlights the challenges faced by data and AI teams in managing connectivity issues. Strategy: 71% of teams spend over 25% of their time on data plumbing. Action: Leaders should focus on streamlining data processes to enhance development efficiency.
January 16, 2026
Why internal alignment is your real growth engine
Highest rated content by MarTech Read time: 4 minutes · Marketing
Score: +3000
MarTech highlights the importance of internal alignment for driving growth. Strategy: Foster collaboration across teams. ROI: Improved efficiency leads to better outcomes. Action: Conduct regular alignment meetings to ensure all teams are on the same page.
Make Your Sales Kickoff the Party of the Year
by Salesforce Read time: 4 minutes · Marketing
Score: +2900
Salesforce argues that a captivating Sales Kickoff can energize teams and drive performance. Strategy: Create engaging agendas that inspire participation. Tools: Utilize interactive formats to enhance engagement. Action: Gather feedback post-event to refine future kickoffs.
Rethinking Complexity in Martech with AI
by Scott Brinker Read time: 4 minutes · Marketing
Score: +2800
Scott Brinker breaks down the complexity introduced by AI in marketing operations. Strategy: AI increases complexity but can simplify management. Action: Evaluate the benefits of complexity against its costs.
Build an AI Business Agent with Google ADK and Universal Commerce Protocol
by Shubham Saboo Read time: 4 minutes · Marketing
Score: +2700
[Shubham Saboo] breaks down the development of an AI business agent using Google ADK and Universal Commerce Protocol. Tools: AI agents can now handle the entire shopping experience. Action: Explore implementing the Universal Commerce Protocol for your e-commerce platform.
January 15, 2026
How the Automation Spectrum Moves the Needle on Your Agentforce Marketing Use Cases
Highest rated content by Salesforce Read time: 4 minutes · Marketing
Score: +3910
ListEngage deployed 50+ Agentforce implementations using a 4-tier 'Automation Spectrum' ranging from deterministic rules to autonomous triggers. The 'sweet spot' for immediate ROI combines deterministic triggers (e.g., lead score) with agentic execution (e.g., drafting personalized outreach). Tactical implication: Audit current 'human-in-the-loop' workflows and move one 'research-heavy' task to Tier 2 (Deterministic Trigger → Agent Execution) this quarter.
New Forrester study: Fragmentation is killing AI ROI
by Miro Read time: 4 minutes · Marketing
Score: +3520
A 2025 Forrester study of 500+ leaders reveals 75% believe current AI tools focus too much on individual productivity rather than team outcomes. 69% report friction from tool switching, while 83% demand shared AI canvases for collaboration. Tactical implication: Consolidate AI adoption around shared workspaces (like Miro or Notion) rather than individual chat interfaces to reduce context-switching costs.
AI & SEO Crawlability Tester Tool Review
by Chris Long Read time: 4 minutes · Marketing
Score: +3030
Chris Long highlights the 'AI & SEO Crawlability Tester', a tool designed to simulate bot behavior and identify blocking issues for LLM scrapers. Ensuring crawlability is critical as AI search engines become primary traffic drivers. Tactical implication: Run a crawlability audit on your top 10 evergreen pages to ensure they are accessible to AI bots like GPTBot and ClaudeBot.
Which tool do I think is best? ChatGPT, Claude Code, Gemini?
by Rachel Woods Read time: 4 minutes · Marketing
Score: +2570
Rachel Woods argues that chasing the 'best' model (ChatGPT vs. Claude vs. Gemini) is a distraction from building durable skills. Proficiency with a single tool yields higher ROI than constantly switching platforms based on benchmarks. Tactical implication: Standardize your team on one major LLM for 90 days to build deep prompt engineering libraries before evaluating competitors.
January 14, 2026
Evaluating AI Agents in Production
Highest rated content by TLDR AI Read time: 4 minutes · Marketing
Score: +4170
Anthropic Engineering outlines that effective agent evals require separating 'pass@k' (likelihood of one success) from 'pass^k' (probability all trials succeed), noting pass^k drops to ~0% at k=10 for inconsistent agents. They use three grader types—code-based, model-based, and human—citing that 'SWE-bench Verified' scores rose from 40% to >80% in one year. Tactical implication: Switch from 'vibe checks' to automated regression suites; start with 20-50 simple tasks based on actual user failures.
Stop bots from abusing free trials (Sponsor)
by TLDR AI Read time: 4 minutes · Marketing
Score: +2830
WorkOS Radar analyzes 20+ device signals (fingerprinting, headers) to block bot traffic and free-trial abuse in real-time with 99.99% uptime. The tool offers a free tier for the first 1,000 checks/month and integrates via a single API call to stop credential stuffing. Tactical implication: Implement Radar on signup flows to reduce CAC waste from fake accounts without adding friction for legitimate users.
Meta Unveils Sweeping Nuclear-Power Plan to Fuel Its AI Ambitions
by TLDR AI Read time: 4 minutes · Marketing
Score: +2740
Meta signed deals for 2.6 GW of nuclear capacity, including backing 1.2 GW from Oklo (Pike County, Ohio) and 8 Natrium reactors from TerraPower. The partnership with Vistra will expand output at existing plants in Ohio and Pennsylvania to power AI data centers by the early 2030s. Tactical implication: Monitor 'compute-energy' availability in 2026 roadmaps; expect rising hosting costs or 'green premium' tiers for energy-intensive model training.