⚪️ How much time do you actually lose to manual DMs? 🟠 The hidden DM tax Every day, you open apps, scroll threads, answer the same questions, and jump back to work. Each action takes seconds, but together they can eat hours from your week. 🟠 A simple way to estimate it Pick

⚪️ Follow-up DMs that feel like nudges, not spam 🟠 Why follow-ups matter Most leads do not convert after the first interaction. Some AI and sales practitioners estimate that 70–80% of deals are recovered when someone follows up instead of going silent after the first message.

Enjoy the best experience on X.

⚪️ AI agents in support: more power, more risk 🟠 What’s changing right now Telecoms, cloud providers, and CX platforms are rolling out AI agents that can handle full flows — not just FAQs — across web, phone, and messaging channels, often taking thousands of inquiries in

⚪️ Inbox cleanup for busy B2B founders You open X, Telegram, WhatsApp, email — and see customers, investors, and candidates all mixed in one noisy stream. Some are urgent, some can wait, and a few are already cold. 🟠 Today’s bottleneck Right now you scroll and guess: – which

⚪️ Why agent safety matters before you automate DMs More teams are testing AI agents to answer leads and support questions. When a reply goes wrong in DMs, it feels personal — and people remember it. 🟠 Where things go wrong today Common failure modes look simple but hurt: –

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⚪️ AI 101: Introducing x402 x402 is an open standard that brings payments into the request cycle. When a client requests a resource, the server can respond with HTTP 402 + machine-readable payment terms. 🟠 Flow: Request → server returns 402 → client pays → access unlocked

⚪️ 1ST DAY DM CASES — Community Lead 🟠 Noise today Support pings mix with spam and “is this official?”. Mods chase links; tone drifts; repeated asks flood DMs after hours. 🟠 Order tomorrow A clear welcome in-DM; quick checks (account? order? security?); known answers sent

⚪️ Last news from AI SEGMENT: Nvidia lines up $500B in AI chip demand @NVIDIAAI just had a 24-hour announcement blitz: a landmark deal with the U.S. Department of Energy and Oracle to build “Solstice,” the largest U.S. AI supercomputer, plus seven new national-lab systems

⚪️ AI 101: Training vs using the model Many people mix up “training” and “using” an AI model — but they’re not the same step. 🟠 How training works Training is the long, expensive phase where a model learns patterns from huge datasets: text, images, code. Think of it as

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⚪️ Last news from AI SEGMENT: OpenAI’s paid-user forecast @OpenAI expects that by 2030, hundreds of millions of people will pay monthly for ChatGPT — around 220M paying users out of its projected weekly base. That would put AI assistants in the same league as today’s largest

🔗 EGO is for anyone who needs a reliable DM assistant that answers, follows up, and books calls while you work on the actual product.

⚪️ Last news from AI SEGMENT: Agents as the new “co-workers” Analysts now talk about AI agents as future “digital workers” inside large companies, with forecasts that a big share of white-collar tasks in Fortune-level firms will be handled by human–AI pairs in the next years.

⚪️ AI 101: Why x402 matters HTTP was built around request → response. But one status code never made it to real adoption: 402 Payment Required. It was meant for a future where the internet could charge for resources natively — but the world ended up with logins, API keys,

Families of 4 in 2025 paid the following for their healthcare as members of CrowdHealth: Jan - $475 Feb - $460 March - $445 April - $460 May - $505 June - $505 July - $445 Aug - $475 Sept - $475 Oct - $475 Nov - $505 Dec - $490 Total - $5,715 Members pay the first $500 of any

⚪️ 1ST DAY DM CASES — Solo SaaS Founder 🟠 Bottlenecks Demo asks pile up while you’re building. People want a “quick look?”; your calendar link gets ignored; follow-ups die in separate apps. 🟠 Steady path Reply now, in the same DM. Two-choice fork (demo now / book later).

⚪️ Last news from AI SEGMENT: AI tokens under pressure, builders keep going 🟠 AI sector had a rough week Total AI token market cap dropped about 18–19% to roughly $24B, back to early-2025 levels. Only around 13% of the top 100 AI tokens finished in green while correlations

⚪️ AI 101: Agents vs chatbots in plain words 🟠 A simple way to see the difference A chatbot waits for a question and replies. That’s it. An AI agent gets a goal, breaks it into steps, calls tools and APIs, and keeps going until the job is done or it hands off to a human. 🟠

⚪️ Last news from AI SEGMENT: $450B on the table A recent report says AI agents could create up to $450B in value by 2028, but only about 2% of companies have scaled them in production. Teams see the upside, but real usage is still tiny. 🟠 What the numbers tell us Most

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⚪️ Start your day with a DM brief 🟠 Today’s reality You wake up, open X, Telegram, WhatsApp, Instagram — and see a mix of collabs, client questions, and follow-ups. Some are urgent, some can wait, but it’s hard to see what matters first. 🟠 How we’re building it EGO’s product

⚪️ Last news from AI SEGMENT: @grok tops LLM charts Grok, the AI model from xAI, is now showing up at the top of many public tests and usage stats. On OpenRouter it’s among the most-used English models, especially for coding and developer workloads. 🟠 Why this is important