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I connected Claude Code to Apify's API to scrape high-performing content from IG/TikTok for ad creative inspiration, and to ElevenLabs' API to automatically transcribe videos — so I can analyze not just visuals, but the exact hooks, pacing, and language top creators are using. From there, I developed a scriptwriting system that takes rough thoughts on a hook and angle and turns them into ad scripts, drawing inspiration from winners and applying proven copywriting principles. After generating, it also grades itself against a 12-point rubric. If it doesn't score at least 90%, it rewrites until it does. I then feed it back in and say, "This is the final version." It analyzes the changes I made and updates its understanding of my style. Step-by-step: 1. I connected Claude Code to Apify’s API for collecting high-performing Instagram and TikTok content. 2. I connected ElevenLabs’ API so the workflow could automatically transcribe each video. 3. I analyzed the winning examples for their hooks, pacing, visual patterns, and exact language. 4. I fed the system a rough hook and angle and had it draft ad scripts using those proven patterns. 5. I created a 12-point grading rubric and required a rewrite whenever a script scored below 90%. 6. After making my own final edits, I fed the approved version back into the system so it could learn my style.

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.

Claude Cowork has been a huge help in creating growth forecasts for our paid media channels. I just plug in our metrics, tell it what goal I'm trying to achieve, and it's able to create an Excel sheet for me with exactly what I need. This saves me a bunch of time because I can create multiple scenarios just by chatting with Cowork. Step-by-step: 1. I gathered the paid-media metrics and the business goal the forecast needed to model. 2. I gave the inputs to Claude Cowork and asked it to build the forecast directly in Excel. 3. I reviewed the structure, assumptions, and outputs of the generated sheet. 4. I changed the assumptions conversationally to create additional scenarios. 5. I compared the scenarios without rebuilding the spreadsheet model by hand each time.

We're always looking for A/B test ideas for our landing pages and new ways to improve conversion rates while creating a better user experience. Recently, I tried an interesting AI workflow after coming across a public CRO skill on Twitter. I installed it in Claude Code and then fed Claude screenshots of our landing page along with behavioral data from Microsoft Clarity, including scroll depth, heatmaps, and which buttons people were clicking most. Using the CRO scorecard framework and the Clarity data, Claude generated a detailed analysis of the page and recommended five A/B tests we should prioritize, along with the reasoning behind each one. The insights were genuinely useful, and we have already taken action by launching one of the recommended tests. Step-by-step: 1. I installed a public CRO skill in Claude Code and used its scorecard as the evaluation framework. 2. I supplied screenshots of the landing page along with Microsoft Clarity scroll depth, heatmaps, and click data. 3. I asked Claude to analyze the design and behavior together rather than treating screenshots and analytics separately. 4. I had it recommend five A/B tests and explain the evidence and reasoning behind each one. 5. I prioritized the list and launched one of the recommended tests.