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🚀New Video: How to Sign AI Workflow Clients (Without Posting Content)
This video breaks down how to sign AI workflow clients without posting content. No personal brand. No audience. Just a simple way to land AI workflow clients even if you’re starting from zero. If you want to know how to sign AI workflow clients without posting content, this is exactly how I’d do it today. Hope you enjoy!
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Want to get featured in front of 500,000+ people?
If you've sold an AI automation to a client, any tool, any industry, I want to hear about it. I'm collecting case studies to break down on the channel. This is your chance to build authority, get your brand out there, and showcase what you've built. 🎁 Bonus: I'll be analyzing all submissions and sharing the trends with you: what's selling, which industries are buying, and where the opportunities are. So even if you don't get featured, you'll benefit from the data. 👉 Fill it out HERE Takes 5 minutes. You can submit multiple projects.
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🏆 Weekly Wins Recap | Feb 7 – Feb 13
Big contracts, First clients, Real cost savings.This week inside AIS+ was about execution over excuses. Here are a few standout wins inside AIS+ 👇 👉 @Glenn Marcus closed a $60K Agentic Engineering contract in 72 hours after launching his new agency site. 👉 Ai Stromae built an automation saving a client €30K per year - €1K paid upfront with referrals coming. 👉 @Mike Thomson landed his first real paying client through persistence and smart follow-ups. 👉 @Jeremy Aune closed his first AI voice assistant client - with expansion already in discussion. 👉 @Meir Heimowitz cut $1,400/month in business costs using Claude Code automations. 🎥 Super Win Spotlight: @Glenn Marcus | $60K in 3 Days Glenn launched his new agency site on Thursday. A friend forwarded it to a CEO. By Tuesday, a $60,000 contract was signed. But this didn’t happen overnight. Through AIS+, Glenn sharpened his thinking around real use cases, agentic systems, and applying AI to actual business problems - not just tools. That clarity gave him the confidence to pivot his consulting company into an Agentic Engineering firm. The result? Right message. Right positioning. Right timing. $60K in 5 Days His story is proof that when preparation meets opportunity, things move fast. If you’re AI-curious or already building, this is what momentum looks like. 🎥 Watch Glenn share his story 👇 ✨ Want to see wins like this every single week? Join AI Automation Society Plus and turn learning into real outreach, real clients, and real momentum 🚀
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Where should i sell my finished product
Hi there im very new to this and i had a question about where i should focus on selling my AI Automation, I havent made any yet but i want to know what im getting into n get some useful info, for context im from croatia where i think it would be very hard or next to impossible to sell someone on a AI Receptionist or simmilar, Is there anyone here that is based in the EU but sells their product abroud in the US and could you give me some insight into that
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Sonnet 4.6 Released! — Benchmark Breakdown
Anthropic released Sonnet 4.6 today. Here's what changed and why it's worth paying attention to. The biggest jump: Novel problem-solving ARC-AGI-2 measures how well a model can reason through problems it hasn't seen before — generalization, not memorization. - Sonnet 4.5: 13.6% - Sonnet 4.6: 58.3% - Increase: +44.7 percentage points That's the largest single-generation improvement in the table by a wide margin. Agentic benchmarks The benchmarks most relevant to tool use and automation all improved significantly: - Agentic search (BrowseComp): 43.9% → 74.7% (+30.8pp) - Scaled tool use (MCP-Atlas): 43.8% → 61.3% (+17.5pp) - Agentic computer use: 61.4% → 72.5% (+11.1pp) - Terminal coding: 51.0% → 59.1% (+8.1pp) Sonnet 4.6 vs Opus 4.5 Worth noting — Sonnet 4.6 now outperforms Opus 4.5 on several benchmarks: - Novel problem-solving: 58.3% vs 37.6% - Agentic search: 74.7% vs 67.8% - Agentic computer use: 72.5% vs 66.3% Sonnet is the smaller, cheaper model tier — so this shifts the cost/performance equation for anyone building agentic workflows. What this means practically If you're building with tool use, MCP integrations, or multi-step AI workflows, the MCP-Atlas and BrowseComp improvements are the ones to watch. Models that reliably use tools and follow through on multi-step tasks open up a lot of what was previously too brittle to ship.
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