🤖 AI Summary
Freelance copywriter Jessica Camilleri-Shelton credits a five-tool AI stack with doubling her copywriting income in six months, freeing two eight-hour workdays a week, and rapidly growing a TikTok audience to 20,000 in eight weeks. Her routine leans on a triad of LLMs—ChatGPT Plus ($20/mo) as a personal assistant and task-breakdown engine (she uses prompts that ask clarifying questions and output realistic schedules and “top 3 must-dos”), Claude Pro/Max ($17–$100/mo) as a creative writing partner that mimics tone from past newsletters and injects personal anecdotes, and Perplexity for cited research. Fathom automates Zoom capture→transcript→action-item summaries so she can stay present on calls, while Canva Pro ($120/yr) plus ChatGPT integration and Canva Sheets speeds up image generation, resizing, and AI-driven social-post planning.
Her story highlights practical implications for the AI/ML community: model selection matters—different LLMs have distinct “superpowers” for productivity vs. creativity—and combining tools into repeatable workflows scales output and reclaims time. Technical takeaways include prompt-engineering as a behavioural nudge (micro-steps on “done” replies), feeding prior outputs into models to preserve voice, and using automated meeting summarizers to close the loop on action items. She also stresses risk management: avoid sharing sensitive data, don’t substitute AI for professional mental-health advice, and always fact-check outputs. The broader lesson: targeted mastery of a few AI skills can materially change freelance and small-business economics.
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