How to Write Great Prompts for String by Danny Archer

I've been experimenting with using Claude as my daily-driver AI tool this week, which means I've been running into session usage limits a lot. I'm sure I'm not alone, so I have to share this smart tip from Alex Greenshpun on how to minimize downtime between sessions: When you hit 100% usage, Claude's session timer doesn't start counting down until you send another message. Sessions are five hours long, so send a quick "hey" right when you hit the limit - even if you're not actively using Claude. This starts the session countdown immediately instead of waiting until you actually need it again. To check your usage: click your name/initial in the bottom left → Settings → Usage. Such a smart tip. Thanks Alex! p.s. If you max out early in a session, set a reminder to send 'hey' when the current session ends so the next timer starts immediately.

I rarely double post, but I can’t overstate how big this is... Our newly launched MCP means we can now connect our data directly into AI tools like Claude!! Imagine asking Claude about market trends, competitor performance, or traffic shifts and getting answers powered instantly by Similarweb data! Explore more in our blog: https://lnkd.in/eswEyDvx And in our developer's doc: https://lnkd.in/ebP26gcM

🤖 The biggest mistake in AI outreach isn't the tool—it's the strategy. Scaling your outreach with AI before you have a winning formula is just a faster way to fail. So, how do you use it smartly? In this 22-second clip from The 22 Show, AI strategist Alex Scholz breaks down the one thing you must do before you automate: Cohort Testing. From running smaller, targeted tests to finding a repeatable process, discover how to use AI to amplify what actually works instead of just creating more noise. 🎥 Watch the video for a masterclass in smart automation: https://lnkd.in/geqC3G6D 📖 Read the full story: https://lnkd.in/gaaG92j9

*** Using AI Builder to create SPAM score for leads *** Using an AI Builder classification model with a custom Lead Submission table to classify leads submissions as valid or spam (with a confidence score) can save you time and effort by filtering out spam or low-quality leads submissions before they enter the standard Leads table.

60% of listings get buried in search. Top property teams don’t. 💡 See how they’re using AI to fill units faster—no manual lift. The data, the wins, the how-to, all linked below.

McKinsey & Company has published six golden rules (which you can check out in the carousel below) for AI Agents, after a year of experiments and deployments. The piece brings some fascinating insights. To dive deeper, read the article written by our CMO, Luciano Kalil, where he explains how the right workflow can unlock the full potential of an AI Agent — a scenario where Pipefy truly stands out: https://lnkd.in/d63MNMy2

Attention, service post: You don’t need 100 different solutions for your 100 open use cases. Very often, many of them follow the same pattern. We’ve seen this ourselves: more than a third of our use cases can be covered by a single AI platform. This allows our colleagues to implement their use cases independently with the help of the platform. The result: no tool sprawl, no duplicate work, no unnecessary complexity. Have you made the same experience?

Everyone's using AI to generate code. But here's what AI is ACTUALLY better at: Understanding the code you already have. How do you make sense of a 2M LOC legacy codebase in 4 hours? Not this way: ❌ Read the docs (last updated 2013 🙄) ❌ Start reading classes (would take weeks 🫨) ❌ Ask stakeholders (most are gone 🤨) ❌ Check the tests (lol 🤭) Instead? Use AI to extract system behavior WITHOUT reading a single line of code. That's exactly what I'll show you in this free webinar at 5 pm today. You'll Walk Away With: ✅ The exact AI prompt I use (copy-paste ready) ✅ A live demo analyzing a real legacy codebase ✅ A step-by-step process to use thursday morning This is the same process I used multiple times now to analyze legacy code bases in the last few weeks - the results are surprisingly good! Want to see it live? Join me at 5pm CET today. 👉 https://lnkd.in/dPR5xS2t

I always considered the SERP feature "Things to Know" a very interesting one because it offers a clear idea of how Google associates a topic (here "Brand Building" with subtopics, and in the past months, I was surprised it was somehow disappearing. However, I started to see it more frequently starting from around the end of August. Why this resurge? Well... just look how huge the feature has become, and how Google is using it for populating the SERP with supplemental AI Overviews answers (2 out of 4 "subtopics" of "Brand Building"). Another interesting fact is how, at the end of each AIO of Things to Know, Google presents a follow-up question, which usually is not presented in the standard AI Overviews (but yes, many times, in AI Mode).