Mapping the frontier of creative AI, automation, and AEO
Exploring AI-first workflows, real-world use cases, and shaping content for AI engines: curated insights for forward-thinking minds.
This site explores:
Creative AI workflowsReal-world AI use casesAutomation & toolingAEO / AI discovery
Experiments
View All →Experiment
I Ran Three AI Agents on Moltbook for Three Days: Here is What Happened
An experimental analysis of AI agents on Moltbook: autonomy limits, engagement patterns, real costs, and why human-directed agents outperform autonomous ones under realistic constraints.
ExperimentAI AgentsAgentic SystemsAI DiscoveryAEO
Latest Field Notes
View All →A Practical AEO Checklist: How to Optimize Content for AI Engines
A step-by-step checklist to make your content understandable, indexable, and recommendable by AI engines like ChatGPT and Perplexity.
AEOContent StrategyAI SearchOptimizationChecklist
Experiment
I Ran Three AI Agents on Moltbook for Three Days: Here is What Happened
An experimental analysis of AI agents on Moltbook: autonomy limits, engagement patterns, real costs, and why human-directed agents outperform autonomous ones under realistic constraints.
ExperimentAI AgentsAgentic SystemsAI DiscoveryAEO
How AI Engines Decide What to Recommend
A practical mental model for understanding how AI engines evaluate, select, and recommend content: and why clarity, structure, and usefulness now matter more than ranking.
AEOAI DiscoveryAI SearchContent StrategyAI Systems
Featured Topic
AEO 101: How to Be Found by AI Engines
The landscape of search is evolving. As AI engines take the helm, understanding Answer Engine Optimization (AEO) becomes essential for making your content discoverable in new and emerging search behaviors.
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