"Ask Claude": When Mentors Outsource Advice to AI
12 Jul 2026
The Pattern: 'Honestly? Ask Claude.'
A recent blog post is circulating a small but pointed observation: when asked hard questions without a clear industry consensus, some senior, experienced people are no longer offering their own take. Instead, they're saying some version of "Honestly? Ask Claude."
The author describes this happening more than once — a pattern of people redirecting requests for advice toward an LLM rather than sharing their own expertise. In one specific instance, a senior person responded to a hard question with exactly that line: "Honestly? Ask Claude."
The Author's Core Argument
The piece makes a simple but sharp claim: "ask the model" may function as a socially acceptable stand-in for admitting "I don't know," "I don't have time for this," or "I'd have to think about it." It's a graceful exit from an effortful conversation — but one that comes at a cost.
That cost, according to the author, is specificity. Claude's answers, however polished, don't carry the person's own lived, professional experience. For complex questions — the kind where reasonable experts disagree — the author argues that decades of hands-on experience matter more than a generalized, model-generated response. When someone redirects to an LLM instead of engaging, the nuance and context that come from actually having lived through a problem may be lost.
What's Missing From the Picture
The report behind this piece is candid about its limits, and so is this article. We don't know how many instances are really behind the "pattern" the author describes — this could be a handful of anecdotes or something more widespread. We also don't know the specific hard questions asked, the professional context, or the author's own relationship to the people doing the redirecting. Notably, there's no example given of an "ask Claude" response that was actually unhelpful or wrong — nor one where it worked out fine. And it's unclear whether this is a Claude-specific phenomenon or something that applies to LLMs generally. Sources on this point simply aren't available.
Why Founders Should Care
This is a single anecdote-driven observation, not a data-backed trend — so treat the following as plausible signals rather than settled fact.
- It's plausible that some founders are already encountering this dynamic when they reach out to advisors, investors, or industry veterans for guidance on ambiguous, high-stakes decisions.
- If this pattern is real and spreading, founders may increasingly need to distinguish between advisors offering genuine, experience-based judgment and those quietly deferring to AI-generated answers.
- There's a reasonable chance that founders who explicitly ask for "your own take, based on what you've actually seen" will get meaningfully different — and more useful — answers than those who accept a generic AI-mediated response by default.
The Opportunity Hiding in the Complaint
For founders building advisory relationships, mentorship programs, or expert communities, this anecdote points to a possible differentiator: explicitly committing to share lived experience, rather than letting AI answer on your behalf, could become a meaningful selling point. In a market where "just ask the model" is increasingly available to everyone, personal, hard-won insight may become the scarcer — and more valuable — commodity.
The practical takeaway is modest but useful: when you're asking for advice on a genuinely hard, consensus-free problem, it may be worth explicitly asking for the person's own experience rather than accepting "ask Claude" as a satisfying answer.