Ben

Amazon Connect Contact Lens is basically X-ray vision for calls Real-time: - Sentiment tracking (happy→angry in seconds) - Keyword alerts ("cancel", "competitor") - Supervisor alerts for intervention Post-call: - Full transcription - Automated summaries

Fun fact The AI brain in Amazon Connect is the same one powering 100 million Alexa devices. Amazon Lex = Alexa's understanding engine Enterprise AI for startup prices.

Boomers: Phone calls or nothing Gen X: Email is their native language Millennials: Chat everything Gen Z: they'll use whatever works Amazon Connect: "Why not all of them?" One flow. Every generation. Problem solved.

Amazon Connect has 50+ flow blocks. Here are the money makers 🎤 Get Customer Input - captures what they say/want 🧠 Invoke AWS Lambda - connects to ANY service 💬 Play Prompt - speaks to customer 🔀 Check Contact Attributes - smart routing 📊 Set Contact Attributes - remember context 🤖 Get Customer Input (Lex) - AI understanding Mix these 6 blocks = infinite possibilities

Imagine if you Detected customer frustration → Automatically offered discount → Saved the sale → Sent flowers as apology All automated. No human involved. That's what Amazon Connect can do (especially the flowers part)

8/ In 2010, Twilio let you send texts programmatically. In 2015, Stripe let you process payments with code. In 2025, Amazon Connect lets you orchestrate entire customer journeys. The platform is ready. The market is massive. The builders will win. What are you waiting for?

7/ The billion-dollar insight: Zapier automated workflows. n8n democratized integrations. Next: Every automation becomes conversational. "Hey AI, process all pending orders" "Call customers with shipping delays" "Text me when revenue hits $100k" Amazon Connect is the infrastructure layer.

99% of startups don't know Amazon Connect exists But it's the same system powering support for millions of Amazon customers daily Here's how to build AI voice/chat apps without the $100k infrastructure cost: 🧵

@tyler_agg viral

I built an AI system that scrapes high-performing tweets in your niche and uses them to write tweets in your exact style... here’s how it works: – scrapes Twitter for top-performing posts and tracks engagement – uses AI to extract the hooks and categorize them by topic – generates new tweets using those proven hooks, written in your style, tone, vocabulary, and structure – stores everything in a database so you always have high-performing ideas to pull from if you want the full walkthrough, reply “viral” and I’ll DM it to you (must be following)

@tyler_agg content

I just made a full walkthrough on how to train GPT or Claude to be a high-level ghostwriter (without any code or tools) it is designed to write like you - not like AI – it learns your writing style, tone, vocabulary, and tweet structure – mimics how you phrase things so it reads like you wrote it – and most importantly, no setup headaches or weird prompts that sound robotic if you want the full guide, reply “content” and I’ll DM it to you (must be following)

What's your process of validating a business idea? I've looked through sub reddits and then made posts to see the publics reaction. But are there tools or other signals you use to see if there's potential customers?

Is AWS overkill for MVPs? compared to VPS? While AWS has more security and better networking, it also means you have to either pay more or write additional code for Lambda Vs No auto scaling but super cheap Do you use AWS for MVPs or something else?

Is AWS overkill for MVPs? compared to VPS? While AWS has more security and better networking, it also means you have to either pay more or write additional code for Lambda Vs No auto scaling but super cheap Your thoughts?

@dannypostma Strongly disagree. That's way too old - 6 months in the womb max

@PrajwalTomar_ Nike

a lot of you asked how i built this hero section using lovable, midjourney, and runway → comment “nike” and follow i’ll dm you the exact steps, prompts, assets, and the remix link