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I make content—posts, articles, and videos—and it brings people to my site. But most visitors would skim for 30 seconds and leave, and nobody used my contact form. So I built an AI version of myself. I trained it on my own content, including my posts, articles, notes, knowledge, and the way I explain things. It learned not only what I know, but also how I talk and think. Now it lives on my site and chats with visitors in my voice. As it chats, it identifies who’s a real lead and sends those people to me with the full story. Visitors can ask questions, get answers in my voice, and follow up as deeply as they want. Step-by-step: 1. I collected my content, posts, articles, notes, knowledge, and explanations. 2. I trained an AI version of myself on that material, including how I talk and think. 3. I created a link and placed the AI on my site. 4. Visitors ask questions and receive answers in my voice. 5. The AI identifies real leads and sends them to me with the full conversation and context.

I have been testing Perplexity Computer, and it really makes you rethink a lot of workflows. It has been particularly useful for surfacing interesting and viral social content across X and Reddit, with internet search abilities that seem much more capable for quick canvassing of different platforms. I have also used it for clipping and captioning video content for social, with Computer able to find, transcribe, give recommendations on the most viral quotes/sections, and caption in just minutes — a wild process that would normally take me (with little video experience) much longer and have to leverage a ton of different apps to make happen. Step-by-step: 1. I used Perplexity Computer to canvass X and Reddit for interesting social content with signs of viral momentum. 2. I narrowed the results to the posts and videos worth developing further. 3. I had Computer find and transcribe the source video content. 4. I asked it to recommend the strongest quotes and sections for short-form clips. 5. I used the same workflow to clip and caption the selected sections in minutes.

Writing event copy used to take me an hour. Now, it takes a conversation. In this video, I show how I use Claude Opus 4.7 to draft a Meetup listing for the Christchurch Artificial Intelligence Meetup in the same voice, tone, and structure as my previous events. I provide a few past examples, ask Claude to reflect on the format, and then give it the raw content for the next event. Step-by-step: 1. I provide Claude with a few examples of previous Christchurch Artificial Intelligence Meetup listings. 2. I ask Claude to reflect on the voice, tone, and structure used in those examples. 3. I hand over the raw content for the next event. 4. Claude uses the examples and format analysis to draft the new Meetup listing.

Nano Banana Pro has been a step change both for staying true to prompts and also being able to take its own creative liberties. The ability to talk through prompt brainstorming, image edits, and even providing context directly from our newsletter has made for some highly personalized new creative paths. Step-by-step: 1. I gave Nano Banana Pro the newsletter context and the creative goal for the image. 2. I used conversation to brainstorm several possible prompt directions before generating. 3. I created initial images and evaluated both prompt fidelity and the model’s useful creative choices. 4. I described the edits I wanted and kept the relevant newsletter context in the conversation. 5. I iterated toward a more personalized final creative rather than restarting from a generic prompt.

I use Ideogram and Reve for newsletter images, and they're impressively good even with minimal prompts. I'll set a general style and tone, and they consistently deliver solid renderings of the tech personalities we cover — the style has become part of our storytelling. Step-by-step: 1. I defined the general style and tone I wanted the newsletter illustrations to share. 2. I prompted both Ideogram and Reve with the same editorial subject and visual direction. 3. I compared which model produced the strongest rendering for each tech personality. 4. I refined the selected image while preserving the recurring style. 5. I reused the visual language across editions until it became part of the newsletter’s storytelling.