Write something
Pinned
20h •
🤐 The Client Who Doesn't Know You Use AI, and Why That's a Choice Worth Examining
A quiet pattern has developed across a lot of professional service work: AI is genuinely integrated into the workflow, meaningfully shaping how deliverables get produced, and clients simply aren't told. Not because of any deliberate deception, but because disclosure never became an explicit decision. It defaulted to silence, and silence has just kept being the path of least resistance. This default is worth examining directly, because it's rarely the product of a considered choice. Most professionals haven't actually weighed the costs and benefits of disclosure versus non-disclosure. They've simply avoided the topic because it feels slightly awkward to raise, and awkward topics tend to get avoided by default rather than addressed deliberately. ------------- Context ------------- The instinct behind non-disclosure usually traces back to a specific worry: that mentioning AI involvement might undermine a client's perception of expertise, making the work feel less personal or less earned than it would if the client believed it was produced entirely through the professional's own unassisted effort. This worry is understandable, but it's rarely been tested directly, and the assumption underneath it, that disclosure necessarily damages perceived value, isn't obviously true once actually examined. Research on client and consumer attitudes toward AI-assisted professional services has found a more nuanced picture than the simple "disclosure damages trust" assumption suggests. Clients often respond more negatively to discovering undisclosed AI use after the fact than they do to transparent disclosure upfront, particularly when the disclosure is framed around how AI assistance allows the professional to deliver better or faster results, rather than framed as an admission of reduced effort. The risk profile of the default silent approach is asymmetric in a way that's easy to miss. If AI use is never discovered, non-disclosure costs nothing. But if it is discovered, whether through a client noticing patterns in the output, through industry conversation, or simply through increasing general awareness of how common AI-assisted work has become, the discovery of undisclosed use tends to feel like a breach of trust specifically because it was hidden, not because AI was used. The hiding is often what damages the relationship, more than the underlying fact would have on its own.
Pinned
6d •
OpenAI Just Rebuilt ChatGPT
OpenAI put out a ton of new stuff this week including the public release of the GPT-5.6 family of models, the new ChatGPT Work app that will be merging Codex and ChatGPT capabilities, a new voice mode, improvements to the speech-to-text dictation, and more! I break it all down for you here, enjoy! Want to save time, get more leverage, and stop figuring this AI stuff out from scratch? I put the clearest map and support inside the AI Advantage Club
Pinned
5d •
Keep Going. You're Building Something Bigger Than You Think.
There's a season where you're doing everything right... You're showing up. You're putting in the work. You're staying consistent. And it still feels like nothing is changing. No momentum. No big breakthrough. No proof that it's working. This is the moment that separates people. Not because the work got harder... but because they mistake a lack of results for a lack of progress. What I've learned after decades in business is this: The invisible season is where everything important gets built. Your discipline. Your resilience. Your standards. Your identity. The results come later. Success rarely announces itself while it's being built. It compounds quietly... until one day everyone calls it an overnight success. If you're in that season right now, don't quit. The work you're doing today is building the life you'll eventually be grateful you didn't give up on.
3d •
🗂️ The Version Control Problem Nobody's Solving
Ask most teams how many drafts exist for their last significant piece of AI-assisted work and you'll usually get a shrug. Somewhere between three and eight, probably, spread across different tools, different conversations, different people's individual sessions. Nobody has a clean record of which version is actually current, what changed between iterations, or why one direction got chosen over another that also looked reasonable at the time. This is the version control problem, and it's one of the least discussed costs of fast AI-assisted iteration. When content generation was slow, there weren't many versions to track because there wasn't time to produce many. Now that generation is nearly free, teams routinely produce far more versions than they used to, and almost nobody has built a system for managing that volume. The result is a growing category of time loss that happens quietly, in the confusion of figuring out where things actually stand. ------------- Context ------------- Version confusion isn't a new problem in professional work. But it used to be naturally bounded, because producing a new version required real effort, which meant versions were relatively few and the history of how a piece of work evolved was usually still fresh enough in someone's memory to reconstruct if needed. AI has removed that natural bound. A single person working on a proposal might generate six or seven distinct drafts in an afternoon, exploring different angles, adjusting tone, trying different structures. Multiply that across a team where several people are independently iterating on related pieces of work, and the total version count for even a single project can climb into the dozens within days. Most of this iteration happens inside individual AI tool conversations that aren't connected to any shared system, which means the history lives in scattered chat threads rather than anywhere a team member could reliably find it later. The cost shows up in specific, recurring moments: someone asks which version is final and nobody's sure. Two people unknowingly work from different drafts and produce conflicting output. A decision gets revisited because the reasoning behind an earlier direction wasn't recorded anywhere and has to be reconstructed from memory, imperfectly. None of these moments individually costs much time. Across a project, across a team, across a year, they add up to a meaningful and largely invisible drain.
1d •
💾 Old School Rules Never Die: How 80s Tech Discipline Keeps My Engine Running.
Hey Y'all! 👋 I wanted to share a quick behind-the-scenes look at what it actually takes to build momentum when the odds are stacked against your hardware. A lot of you know about my current hardware situation, but here is the raw truth: I am doing all of my community engagement and system building from an old, broken Samsung phone that literally cannot even update some of its own software anymore! How do I keep it running without crashing? By going completely old school: Back in the early days of desktop computers, I used to teach touch-typing and system basics to coworkers. I always told them: Don't keep mashing the 'Enter' key over and over when the system slows down. Every keypress sends a command to the keyboard buffer queue. If you overload the stack, the CPU will tell you to get stuffed, freeze, and slap you with the Blue Screen of Death (BSOD)! Guess what? That exact 1980s discipline is how I navigate my digital workspace today. To keep my struggling phone from bricking itself, I run a strict, manual memory management protocol: ✔️ Open Gemini, chat, get my strategic data, copy it, close the app. ✔️ Open Skool, engage with you beautiful people, copy text or take screenshots, close the app. ✔️ Open Google Docs, paste my assets into a permanent vault, close the app. I never keep more than one single app open at a time. Yes it is a slow, hyper-disciplined process, but it proves one thing: System framework and grit matter more than having the latest gadgets. It is a grinding pace for now, but the second my new Lenovo AI PC starship arrives with 32GB of RAM and that Snapdragon X Elite NPU, this manual operating system is going into absolute overdrive!⚡ Until then, if your tech is slowing you down, remember the golden rule: One window, one task, and protect your buffer stack! 📱👩💻
1-30 of 20,065
skool.com/the-ai-advantage
Founded by Tony Robbins, Dean Graziosi & Igor Pogany - AI Advantage is your go-to hub to simplify AI and confidently unlock real & repeatable results
Leaderboard (30-day)
1
+476
2
+373
3
+358
4
+319
5
+307
Powered by