Les Yetton

This guy literally broke down how to use Claude Code like an expert: 1:40 - Code vs Cowork vs OpenClaw 6:51 - Setting up context status line 12:03 - Sub-agents 17:49 - Creating skills 23:58 - Ask user questions tool 33:33 - Tool-powered skills: Tavily 36:57 - CLI vs MCP vs API hierarchy 39:30 - Make slides skill w/ Puppeteer 43:32 - Auto-invoking skills with hooks 46:49 - Jupyter notebooks for data trust 55:09 - The operating system file structure

Contrarian take: there's never been a better time for early career professionals to command the attention of leaders in their company. How? Become the AI Guru in your company. Every co has a few of them & they instantly earn visibility with the c-suite... If you're an SDR, map out the inbound SDR process end-to-end in your org and build an AI agent on Vercel that automates several/all steps. If you're an engineer, evangelize Claude Code & lead enablement workshops, helping other technical folks understand everything from hooks to worktrees to claude[.]md. If you're a growth marketer, build a paid media workflow that mines creative ideas from reddit, spins up 100s of ads using Nano Banana, sets up the campaign on Meta, and drives traffic to custom landing pages, so you can test ad spend far more efficiently at scale. You could be the most junior person in your company, but if you're truly viewed as the AI Guru, you are wildly valuable & have way more leverage than you think.

Over the past week, you may have seen an anonymous post about Delve. While we responded to it in a day, we want to provide more details about what’s true, what's not, and some changes we’ve made. There’s one question behind everything: did Delve fabricate compliance evidence or issue fraudulent audit reports? No. We did not. → Delve is an AI compliance platform that connects customers with independent auditors. We are not an auditor, just as tax preparation software is not an accountant. We have never signed an audit report. → Using default templates for our customers, just like any other compliance platform, is not “faking evidence.” These are meant to serve as a starting point for customers. → Delve does have automation in the platform, with 600+ automated integration tests, an AI Copilot to guide customers through compliance, AI code scanning, and more. -- We built Delve to accelerate innovation by bringing AI to compliance. In doing that, we pushed hard on automation. However, we now realize we didn’t provide enough clarity about what is automated, what is customer-provided, and what is independently audited. We have been working relentlessly to make improvements over the last week. -- On our auditor network: Delve connects customers with independent auditors. Some customers choose their own auditors, but many use firms in our network. Questions have been raised about some of those firms, including ones used by other platforms. Going forward we will set a higher bar in how our auditor relationships are structured and how the process is experienced by customers. Delve is rebuilding our auditor network, removing firms that don’t meet our standards, and offering complimentary re-audits and penetration tests to every customer. On platform templates for our customers: Delve provides default templates, just like many other platforms, for policies, board meetings, risk assessments, and more. These are designed to be starting points only. We should have been more explicit about how they are meant to be reviewed and customized by customers. We are making that indisputably clearer within the platform. On draft audit reports: Third-party auditors are responsible for independently reviewing all evidence and issuing final reports. We built automation that interacts closely with independent audit workflows to help expedite the process on behalf of our customers. However, this contributed to confusion about where automation ends and independent judgment begins. From now on, Delve will no longer automate these parts of the process. Furthermore, customers have a direct line of communication with their auditor to enhance transparency in any audit communications. -- We started Delve because we went through compliance ourselves and saw how slow, expensive, and manual it was. To anyone that wants to sit down and discuss our product philosophy and improvements, please reach out and let’s chat about it.

Sometimes, I wonder why I do this work. I wonder why I work so hard to elect Republican majorities into office & — when we are in power — our very elected officials don’t wield or harness that power. I wonder why I lose sleep, miss family vacations, & put my personal life on hold, so wealthy Senators can go on paid vacations after not achieving the very promises they campaigned on. Sometimes, I wonder if they truly care about us & if they actually want to represent the will of the very people that elected them into positions of authority. I will tell you this: if the Senate ultimately does not pass the SAVE America Act, I will use all of the energy, hustle, & organizing efforts we used to elect these Senators into office as tools to peacefully & respectfully defeat them in their upcoming elections.

Silicon Valley thinks AI agents are a $20/mo self-serve subscription. Main Street is paying local agencies $10,000 just to turn them on. Everyone assumes AI will be bought primarily online like Slack or Zoom. I think they are wrong. Some of the biggest winners in the AI boom won't be the software vendors. It will be the humans installing it. Here is the reality of SMBs right now: • 54% lack internal AI expertise. • 41% have data quality too poor for AI to even work. • 41% already prefer buying AI through a local IT provider. You cannot "1-click install" a genius AI into a messy CRM or a 15-year-old server. It will just execute the wrong tasks at the speed of light. The AI software will be cheap and a lot will absolutely be bought online. Making it actually work for a messy, real-world business will be expensive. Very bullish on the "Do It For Me" economy being back.

lots of non-AI native startups funded in the 2020-2025 timeframe trying to figure out: - can you reinvent the product to be AI-native? - do you pivot towards AI? - or just use AI in the backoffice, and ride it out? opportunity cost is the hardest thing to calculate. The most dangerous startups aren't the ones with no revenue -- they're the ones with just enough revenue to keep going