I'm very new to all of this and haven't made time to go through the training yet. But, quick question: Is there a tool out there (or that can be made) that can scrape Data Axle? I've tried Apollo, but it doesn't really work well for what I'm trying to do. Thanks!

This weekend I started using Garry Tan's Claude skill called Gstack. It adds several skills to Claude Code that helps with the design and build process. Right now the one I'm using the most is /plan-ceo-review and /plan-eng-review The CEO Review takes a feature or change request and looks at it from multiple angles asking "Is this really what we need or do we need to expand/contract the scope to hit what the user ACTUALLY is looking for?" And it's doing a fantastic job of helping me hash out all the extra questions I forget to ask. The ENG Review takes the same approach but it looks at the gaps in the technology that are going to come up during the build and it gets resolutions for them before the build starts. Then it compiles a comprehensive plan for the agent to build out. If you have time and you aren't using it yet, give it a try. It's significantly helped with my app quality!! If you decide to try it, let me know how it goes! Here’s the link to the GitHub repository: https://github.com/garrytan/gstack

So, I posted a response to Jay’s comment that was removed by moderators, flagged as “be positive”. (Jay’s post: https://www.skool.com/ai-automation-insiders/openclaw-module-coming-very-soon). My comment raised substantive concerns about OpenClaw’s security posture, whether average users would know how to harden systems to use it safely, and whether premium-gating that capability aligns with the broader mission of the Skool community. Nothing in my comment targeted any individual, was abusive, or was intended as a personal attack, and it even used a smiley faced emoji. My commentary was informed by my background ans an cyber security practitioner and was presented as constructive criticism, not negativity. So, my genuine question is this; are members allowed to raise respectful but critical views about products and business decisions here, or is the expectation that commentary should only be supportive? If the former, then “be positive” is too vague to be useful moderation guidance. If the latter, that should probably be stated clearly, because those are very different community standards. More broadly, a healthy community should be able to accommodate more than praise. There is already plenty of discussion about how awesome things are, but, the reality is that substance often sits behind a paywall. For context, the moderated comment was along the lines of questioning OpenClaw’s security, the burden on average users to harden it, and whether making it premium-only was consistent with Jay’s/the community’s mission.

Anthropic just made 1M context generally available for Opus 4.6 and Sonnet 4.6. How to activate: Claude Code: Max, Teams, or Enterprise. Open a new session and it's live. API: use claude-opus-4-6 or claude-sonnet-4-6. Automatic, no extra headers. At 1M tokens, Opus 4.6 holds 78.3% on MRCR v2 while GPT-5.4 is 36.6% and Gemini 3.1 Pro is 25.9%. Big workflow update: stop panic-clearing at 100K. 200K is now a comfortable checkpoint and you have much more room. Anthropic just made the 1M token context window generally available for Opus 4.6 and Sonnet 4.6. The benchmark chart says it all. At 1 million tokens, Opus 4.6 holds at 78.3%. GPT-5.4 drops to 36.6%. Gemini 3.1 Pro falls to 25.9%. Context rot is not fully dead but Claude just lapped the field. How to activate it in Claude Code: During a session: /model opus[1m] or /model sonnet[1m] At startup: claude --model opus[1m] Permanently: add "model": "opus[1m]" to your settings file If you don't see the 1M option in your /model picker, restart your session. Plan breakdown (important): Max, Team, and Enterprise: Opus 4.6 with 1M context is included automatically. No extra cost, no config needed. It's live when you open a new session. Max, Team, and Enterprise: Sonnet 4.6 with 1M context requires extra usage (billed separately). Pro plan: Both Opus and Sonnet 1M require extra usage. API / pay-as-you-go: Full access to both, standard pricing throughout. No price premium past 200K tokens. Standard rates apply the whole way. What this means for workflows: Stop panic-clearing at 100K. Working through a large codebase or multi-step build? Stay in session much longer without quality falling off. Old rule: 100K was a red line. New rule: 200K is a comfortable checkpoint and you have real room. If you use opusplan mode, that alias also gets the 1M upgrade automatically on Max/Team/Enterprise. Image capacity also jumped from 100 to 600 images or PDFs per request.mage attached with the benchmark chart.

@Jay Feldman @Jordan Wiseman hello! I am a paid member of both Lead Gen Insiders and AIA and have gone through a large portion of the classroom videos and lessons. There is a lot of great information. What I am finding challenging is figuring out which automations, tools, and n8n workflows are the most current that I should be using, since AI is moving so quickly and some of the content seems outdated. I currently have email inboxes warming with Inbox Insiders and want to start building my lists as they warm. I also signed up for Consulti AI. What are the most current automations and n8n workflows I should onboard now? In addition to Consulti, I am considering LinkedIn automation, then IG automation, and Instantly automations, but I am unclear which ones are recommended and current right now. Who may I talk to about this? Thank you!