AI - Feed Archive
// filter(tags) AI (0)
AI
0 links (last 90d) · 19 links (all-time)
// january_2026 (7)
2026-01-16
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.
2026-01-15
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.
2026-01-13
Getting Started with Cowork
by Claude Support Read time: 4 minutes · Marketing
Score: +3500
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.'
2026-01-10
LLM Optimization (LLMO): Get AI to Talk About Your Brand
Highest rated content by Semrush Read time: 4 minutes · Marketing
Score: +4040
AI search visitors are 4.4x more valuable than traditional organic traffic (Semrush). Google users now see LLM responses on 13.14% of all search results pages. Tactical implication: Deploy an `llms.txt` file for crawler accessibility and shift PR focus to earning mentions on high-citation domains like Reddit and Quora.
Context Graphs: The Elegant Idea Everyone's Talking About
by Dharmesh Shah Read time: 4 minutes · Marketing
Score: +3450
Autonomous agents currently fail at edge cases because they lack 'context graphs'—structured records of *why* decisions were made. Dharmesh Shah notes most enterprises are still too early in data unification to implement this 'system of reasoning.' Tactical implication: Delay full agent autonomy; instead, manually log decision logic in CRM fields to build training sets for future context layers.
2026-01-07
Predictions for B2B Go-To-Market in 2026
Highest rated content by Scott Brinker Read time: 4 minutes · Marketing
Score: +3840
Jon Miller (Marketo co-founder) predicts 2026 will see the rise of 'Agent Optimization' where brands market directly to AI intermediaries. Key forecast: 'Context Engineering' will emerge as a core ops discipline to structure data for reasoning models, replacing brittle rules-based automation. Tactical implication: Create a 'headless' content layer (APIs, structured data) specifically for AI agents to ingest pricing and specs without UI friction.