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How creators and small businesses actually get paid on social platforms: algorithm shifts, payout program changes, and growing reach that doesn't depend on one platform's rules.
The industry-wide pushback against low-effort, AI-generated mass content: platform crackdowns, quality thresholds, and what actually holds up as content worth paying for.
Autonomous AI agents replacing or augmenting sales and customer support roles.
AI tools and workflows for video generation and editing, aimed at small creators.
Generative/answer engine optimization and how AI search is reshaping discoverability.
Model Context Protocol connectors, integrations, and the failure modes of AI-built automations.
Open-weight model releases, distillation, and running models locally or self-hosted.
Token pricing shifts, cost-per-task analysis, and the economics of running AI at scale.
Non-technical and indie founders shipping software and businesses with AI coding tools.
Managing context windows, reducing token costs, and context hygiene practices for AI agents.
Structured prompting patterns, prompt contracts, and techniques for reliable AI outputs.
Claude Code, Codex, and the tooling/workflows around AI-assisted software development.
Multi-agent systems, agent teams, managed agents, and proactive/scheduled agent workflows.
Security best practices for working with Claude, ChatGPT, and other large language models in production.
Practical approaches to deploying AI tools responsibly, including containment strategies and risk management.
Checklists and frameworks for auditing AI agent setups, API configurations, and automation workflows.
Setting up read-only access, scope restrictions, and permission management for Google, Notion, and other OAuth integrations.
Practical tutorials for building automated workflows with AI agents, n8n, and LLM integrations.
Emergency procedures, security audits, and damage control when AI agents malfunction or get compromised.
Tutorials on API key rotation, spending limits, OAuth permissions, and credential isolation for AI tools.
Understanding and preventing prompt injection attacks in LLMs and AI agents.
Best practices for deploying autonomous AI agents safely, covering prompt injection, credential management, and containment protocols.
Guides for securing OpenClaw AI agents, including isolation strategies, permission management, and risk mitigation.
I turn messy, ambiguous operations into standardized playbooks other people can actually run. Every week: real workflows, honest tool breakdowns, and a look inside how I build.
Some links are affiliate or point to tools I've built. I only share what I use.