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HighLevel just launched their own Vibe coding platform and I've spent this week putting it through its paces. My honest verdict: I wasn't expecting to be this impressed. I used it to build a landing page for Consultant OS, clone my own SaaS website (the one I paid £2,000 to have built), and create a quick opt-in page from scratch. All through prompts. No code, no designer, no back-and-forth with an agency. For founders and consultants who are building content, funnels, or software platforms right now, this matters. GHL AI Studio is currently in beta, which means credits and hosting are free while they gather feedback and iterate. Knowing how fast HighLevel moves, that window won't last long. Full breakdown is on YouTube now. Worth a watch if you're already in GHL or considering it. [Link in comments]

Every missed call is a missed opportunity — and in competitive markets, these missed opportunities can directly impact revenue. This is where AI voice assistants are revolutionising how businesses handle inbound communication. Read more: https://lnkd.in/dNBc5vkA

Managing leads, customers, and sales opportunities across multiple platforms is one of the biggest challenges modern businesses face. Many companies rely on a combination of spreadsheets, email systems, phone logs, and separate marketing software to track prospects and clients. Read more: https://lnkd.in/g9i9V5is

For many businesses, generating leads is only half the battle. The real challenge lies in managing those leads effectively and turning them into paying customers. Without a clear system, it’s easy for leads to get lost, opportunities to slip through the cracks, and deals to stall — all of which can directly impact revenue. Read more: https://lnkd.in/gb_3h5M8

For many businesses, managing marketing campaigns manually is time-consuming and inefficient. Sending emails, following up with leads, posting on social media, and tracking performance can quickly become overwhelming — especially as the number of leads grows. Read more: https://lnkd.in/grHGX4Yy

In today’s digital world, reviews are one of the most influential factors in customer decision-making. Research consistently shows that: Over 90% of consumers read online reviews before choosing a business• Positive reviews increase trust and credibility• Negative or unaddressed reviews can damage reputation and deter potential customers For businesses aiming to grow, managing online reputation is no longer optional — it’s essential. Read more: https://lnkd.in/gNi2Q3fm

80% of AI budgets in 2026 are being wasted. Not because AI doesn't work. Because companies don't know what they actually bought. That's why their AI ROI looks disappointing. These two terms get used interchangeably but architecturally, they're worlds apart. If you're integrating AI in 2026, knowing the difference will save you a lot of wasted budget. The Chatbot — "The Informant" It retrieves. It surfaces. It answers. Architecture: An API call to an LLM + a document store. ROI: Saves time finding things. Ceiling: A human still has to act on what it finds. The Agent — "The Operator" It decides. It executes. It completes workflows. Architecture: Long-term memory + tool-use + deep integration with your ERP/CRM. ROI: Removes humans from low-value loops entirely. Ceiling: It can't be bought off the shelf it has to be engineered around your specific business logic. The real world difference? A Chatbot tells you inventory is low. An Agent notices it's low, finds the right supplier, and drafts the purchase order waiting only for your approval. One is a tool. The other is a digital employee. Most AI disappointment I see in businesses comes down to one misalignment: they expected an Operator, but built (or bought) an Informant. Before your next AI investment, ask one question: "Does this system take action, or does it just give me information?" The answer will tell you everything.

Create a Gem in the Gemini app to do the work you do over and over. Included in all Workspace plans.

Claude Code Project Structure 𝗕𝗲𝗰𝗼𝗺𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝘁 𝗔𝗜 𝗶𝗻 𝗷𝘂𝘀𝘁 𝟭 𝗺𝗶𝗻𝘂𝘁𝗲 𝗮 𝗱𝗮𝘆. 𝗚𝗲𝘁 𝘁𝗵𝗲 𝗔𝗜 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝘀𝗺𝗮𝗿𝘁 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗿𝗲𝗮𝗱. 𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗿𝗲𝗲 𝗻𝗼𝘄 → aiforleaders.com Original post: __________ You won't need any other project structure for Claude Code. Just this one. 2 weeks ago I shared an Agentic AI project structure. It blew up. But people kept asking: → "What about Claude Code specifically?" → "Where do Skills go?" → "How do I organize Hooks and MCP servers?" So I built the definitive version. Here's everything in one cheatsheet: → CLAUDE. md — Your project's memory layer → . claude/ — The entire extensions hub → commands/ — Slash commands as .md files → skills/ — Auto-activated workflows with SKILL. md → agents/ — Subagent definitions in .yml → plugins/ — Bundled distributable setups → . mcp. json — External tool connections Plus the right side covers: → All 6 extension types explained → Hook events and when they fire → Skill folder structure (scripts, references, assets) → Popular MCP servers to connect → Context management thresholds → Getting started in 6 steps → Pro tips from real usage This isn't theory. Print it. Pin it. Reference it. Credit to Brij kishore Pandey. Follow him for more.