From my desk: guides from real projects
These articles come from real projects — what worked, what I learned, and how you can apply it to your own content challenges.
Worried about using AI to write?
Here are five methods to keep your authentic voice while letting AI handle the heavy lifting — from feeding it facts to the “contrarian prompt” that catches weak spots before your readers do.
Key Highlights
- Five practical methods that work independently or together
- The “contrarian prompt” technique for catching weak spots
- Real examples from writing artist profiles for a local arts center
- Framework you can reuse for any content project
More to explore
Coffee and Claude time: Three prompt examples (and more)
A quick walkthrough of prompt approaches and when to use each one. Read on LinkedIn →
Highlights
- Three prompt examples in decreasing order of how much you bring to the table
- Why “coffee chat mode” beats command-line prompting
- The one addition that shifts AI from answering to collaborating
- Treat your AI assistant as a colleague, not a vending machine
How I built a lead capture system in 90 minutes
You don’t need to be a programmer or wait for perfect AI tools. This walkthrough shows how I built a working system to process business cards, create contacts, and draft follow-up emails — using Claude, Google Apps Script, and zero additional subscriptions. [Read on LinkedIn →]
Key Highlights
- Real example: from problem to working system in one session Four-part framework: AI extraction, human context, automation, hybrid handoffs
- Step-by-step guidance for building your own AI-augmented workflow
- No coding required — just collaboration with your AI assistant
Friday fun: Songwriting with Claude AI and Suno AI
What happens when you feed 160 pages of chicken observations to Claude and ask for Mother’s Day lyrics? A country rock anthem that nailed it on the first try — no 21-version iteration cycle required. Read on LinkedIn →
Highlights
- How rich context and clear constraints reduce AI iteration cycles
- Pairing complementary AI tools: Claude for narrative, Suno for music
- Why “one and done” worked here but not on other projects
- The human-at-the-beginning-of-the-loop principle