How I use AI as a solopreneur - and what I've learned so far

After two-plus years of experimenting with AI tools - switching platforms, building custom tools, and making plenty of mistakes along the way - Anna Lundberg shares what she's actually learned about using AI as a solopreneur: what it's genuinely good for, where it falls short, and why the most valuable thing you bring to your business can't be outsourced to any tool.

Key takeaways

• Your tool choice matters - and so do the ethics behind it. Anna shares why she moved from ChatGPT to Claude, and what she considered beyond just the feature set.
• The thinking partner use case is the most underrated. For solopreneurs without a team to sanity-check ideas, having a daily outlet for half-formed thoughts and strategic questions is genuinely valuable - if you use it right.
• AI-generated content erodes the thing that makes you worth following. Your voice, your perspective, your experience - these can't be replicated, and outsourcing them is a strategic mistake, not a time-saver.
• There's a useful three-tier framework: use AI generously for thinking and sense-checking, carefully for drafting, and thoughtfully for research - and verify anything that matters.
• You don't need a strategy to start. One small experiment with a task you find tedious is enough to begin, and it puts you ahead of most people who are still sitting on the sidelines.

Try the free solopreneur diagnostic at onestepoutside.com/diagnostic - it's AI-powered, takes about 10 minutes, and gives you something genuinely specific to work with.