WWGPTD? (What Would GPT Do?) started as internal Slack shorthand for a simple truth: AI isn't your guilty secret—it's step zero. These bracelets remind us that using AI isn't cheating. It's table stakes.
We believe in human creativity and AI. The value these tools bring is too significant to hide behind disclaimers. No more "I used AI for this." Just better work—sometimes faster, sometimes not, but always better.
While it's just a bracelet, we hope it helps normalize what should already be normal: using the best tools to do your best work.
Ad edificatores.1
1 To the builders.
As AI becomes the default starting point for every task, CEOs from IBM to Shopify are issuing mandates that range from theatrical pronouncements to enforceable operating frameworks. This post decodes these moves in a 2×2 matrix—Peacocks, Stagecraft, Bettors, and Executors—to help you spot who’s driving real transformation and who’s just playing to the crowd.
Noah distills his 2,400+ hours of AI use into a candid, unordered list of 29 controversial takeaways—from championing ChatGPT’s advanced models and token maximalism to predicting enterprise adoption bottlenecks—and invites fellow practitioners to discuss. CMOs can reach out to Alephic for expert guidance on integrating AI into their marketing organizations.
Few-shot prompting leverages AI’s pattern recognition by providing a handful of examples in the prompt, enabling the model to identify patterns and generate responses that match your intended style or format. This real-time approach achieves consistent, domain-specific outputs without needing massive datasets or model fine-tuning.
Zero-shot prompting is the most basic form of AI interaction where questions are posed without any examples or guidance, relying entirely on the model’s pre-trained knowledge. This baseline approach immediately tests raw capabilities, revealing both its breadth and limitations.
Conway’s Law states that organizations designing systems are constrained to produce designs mirroring their own communication structures. For example, separate sales, marketing, and support teams often yield a website organized into Shop, Learn, and Support sections—reflecting internal divisions rather than user needs.