Automation AI Marketing Feed (Page 18) - yfx(marketer)
// filter(tags) Automation (74)
Automation AI Marketing Feed (Page 18) - yfx(marketer)
What is the Automation feed? The Automation feed is a curated repository of AI marketing links and workflows (Page 18). It provides operators with targeted tactics and strategies to optimize their tech stack.
74 links (last 90d) · 146 links (all-time)
// january_2026 (6)
2026-01-21
Ads are officially coming to ChatGPT
Highest rated content by The Rundown AI Read time: 4 minutes · Marketing
Score: +3000
The Rundown AI highlights the introduction of ads in ChatGPT to support broader access to AI. Strategy: ads will be tested first in the US. Automation: ensuring user trust, data privacy, and ad quality.
2026-01-18
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.
2026-01-17
Understanding Manus sandbox - your cloud computer
by TLDR AI Read time: 4 minutes · Marketing
Score: +3380
Manus (now part of Meta) unveiled "Sandbox," an isolated cloud VM that gives AI agents root access to a full file system and browser. Free users get 7-day persistence for environments, while Pro users get 21 days, allowing agents to deploy long-running backend services or compile full apps. Tactical implication: Use Sandbox to build and host temporary internal tools (like lead scrapers) without provisioning local Docker containers.
2026-01-15
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.
2026-01-14
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.