I am just getting started with online communities overall and I am realizing my lack of experience with engaging in this way is slowing me down. I have facilitated and taught remotely for a few years but this feels very different. What suggestions could people give me to work through this? Right now I am trying to spend 30 minutes a day reading and posting as well as looking at people's Skool offerings in order to broaden my understanding and learn as I go.

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.

I have been learning so much from the AI Bootcamp and this opportunity to be involved in the Meant for More event was perfect timing. Looking forward to our bonus session on Tuesday! As always these trainings with Tony and Dean over deliver on what they promise in terms of the content and heart they offer. I can see why they chose Igor to do the AI aspect of this - he is just like them in his teaching style. Thanks for all you do!