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328 contributions to AI Automation Society
Welcome! Introduce yourself + share a career goal you have 🎉
Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊
0 likes • 3m
@Frances Whitmire Welcome!! 👍
0 likes • 3m
@Frances Whitmire
The Advice I'd Give My 20-Year-Old Self
1. Start earlier. You're ready enough. 2. Fail faster. Every failure is a lesson. 3. Ask for help. No one figures this out alone. 4. Save more. Financial runway = freedom to take risks. 5. Health first. You can't build anything if you're broken. 6. People matter. Business is relationships. 7. Enjoy the journey. The destination keeps moving. I'm writing this at 32, and I hope 42-year-old me has learned more than this version. What would you tell your younger self, and which of these do you agree with most?
The Advice I'd Give My 20-Year-Old Self
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What a great reflection, David! 🥂 Point 4 is the one that resonates with me the most right now. Many entrepreneurs operate with their backs against the wall, which prevents them from making bold decisions. Having that financial runway isn't just about security; it's the fuel to say 'no' to toxic clients and 'yes' to disruptive projects. To my 20-year-old self, I would say: 'Don't buy status, buy time.' Great post! 🚀
The 'Trojan Horse' Feature That Gets Me Into Fortune 500 Companies
Enterprise sales can be slow. Sometimes 3-6+ months So I always build a Trojan horse. One free feature that: - Solves a real problem - Doesn't require approval - Spreads organically within teams People use it. Love it. Tell colleagues. Then when they need the full solution, we're already in. Land and expand. But the landing needs to be free and valuable. What's can be your trojan horse?
The 'Trojan Horse' Feature That Gets Me Into Fortune 500 Companies
1 like • 9d
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3 likes • 9d
Pure gold! 🎯 The key lies in this point: 'Doesn't require approval'. In Fortune 500 companies, any software that needs access to the central database gets blocked by IT. But a tool that, for example, cleans up Excel reports or generates meeting minutes via the web, flies itself. My 'Trojan Horse' is a customer feedback sentiment analyzer: it doesn't touch sensitive data, but it saves the product team 4 hours of reading. Pure land and expand! 🚀
🤖From Chatbots to Agents: How the AI ​​Game Is Changing in 2026 (and What You Can Build)
If 2023–2024 was the era of chatbots, 2025–2026 is solidifying as the era of agents: systems that not only respond but also plan, call tools, use long-form context, and act on your behalf. This is evident in Gemini 3, Grok 4.1, the new GPTs, and the "Agent Skills" standards being developed by labs like Anthropic. ⚙️ What changes for entrepreneurs and developers? - From "chat to answer questions" → to "agent that executes complete workflows": integrates APIs, updates databases, sends emails, schedules calls, etc. - From “one model does it all” → to architectures where you combine large models, small models, and specialized tools (scraping, RPA, n8n, CRMs, etc.). 💡 Concrete product/automation ideas you can build in this new context: - B2B prospecting agent: an agent that finds leads, enriches data, prepares personalized messages, and triggers sequences (Skool, email, WhatsApp), using LLM + n8n + data APIs. - Internal agent for real estate agencies: connected to WhatsApp, CRM, and Google Sheets, that answers questions, schedules visits, and updates statuses in real time without human intervention. - “Anti-AI slop” content agent: with clear rules to avoid low-quality content, using quality models and filters to maintain brand tone and depth in your posts. 🤖 What agent have you designed, and how has it helped you or your clients? 👇👇
🤖From Chatbots to Agents: How the AI ​​Game Is Changing in 2026 (and What You Can Build)
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@Hicham Char 100% — LangGraph is a great call for exactly that reason.Once you move to explicit state + graph-based flows, infinite loops and silent failures become way easier to reason about. Multi-agent setups help a lot too: - One agent plans - One executes - One validates / retries / escalates That separation alone makes error handling cleaner and more debuggable. Pairing LangGraph for control flow with something like n8n for external actions is a really solid stack right now 🛠️🚀
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@Muskan Ahlawat Glad you find it interesting 🙌That “anti-AI slop” angle is becoming more important as output volume explodes. The key is exactly what you mentioned: rules, filters, and intent. - Clear quality constraints (no filler, no generic phrasing) - Fewer, higher-quality models instead of max volume - A brand-tone layer that reviews or rewrites before publishing - Human-in-the-loop checkpoints where it actually matters When you treat the agent as a quality gate, not a content factory, the output stays useful and on-brand. That’s what will separate real brands from noise very quickly.
The most important AI news this week (start of 2026) – entrepreneur edition
2026 started strong in AI: the big players are iterating less on “new models” and more on how to make them useful in the real world (agents, voice, search, hardware, etc.). Here are 4 key points for entrepreneurs, creators, and developers: 1. The battle is no longer just about models, it's about real users. Several analyses show that ChatGPT still dominates in weekly users (800–900M), but Gemini is growing very fast, already reaching ~35–40% of its web/mobile scale and gaining ground, especially on desktop. Practical translation: you can't ignore the Google ecosystem (Search + Workspace + Gemini 3) if you sell digital products or services. 2. Gemini 3 as the “default search engine” Google is heavily promoting Gemini 3 Flash as the default engine for the AI ​​experience in Search, providing quick answers and links to sources, while maintaining the classic search bar for verification. This will change how traffic reaches your websites, blogs, and funnels, so “AI-first” content (optimized for rich results) becomes key. 3. OpenAI and the push towards voice and audio OpenAI is preparing audio-centric models and devices for 2026, with the goal of making voice the primary interface for using AI. Think about experiences where your users speak to your product instead of filling out forms or submitting tickets. 4. The focus shifts from training to inference This week’s technical briefs highlight that the battle is shifting towards inference: smaller, faster, cheaper models that are easier to deploy on-premises or in alternative clouds. For you, this means more options for setting up your own agents and assistants without always depending on a single, expensive provider. What would you be most interested in seeing us break down in detail: Gemini 3 in Search, audio/voice strategies, or how to leverage smaller models for your own agents?
The most important AI news this week (start of 2026) – entrepreneur edition
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@Atiqur Siam Thanks for checking it out 🙌
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@Dineo Mohlabane Totally agree. This is bigger than content — it’s a shift in how intent is expressed and captured. Voice changes when and how people interact: less browsing, more asking, more context in a single request. For early-stage businesses, the win isn’t building fancy voice apps, it’s: - Structuring answers for spoken discovery - Designing flows that work hands-free - Capturing intent earlier with fewer steps A deeper dive into practical voice strategies (what to test now vs. what to ignore) would help a lot of teams avoid overbuilding while still getting ahead of the curve 🎙️🚀
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Christian Rivadeneira
8
20,467points to level up
@christian-rivadeneira
Automatizaciones con IA y n8n | Diseño Web, Marketing Digital, Developer | MBA | Máster en Project Management | Máster en MD y eCommerce

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Joined Jul 1, 2025
Ecuador
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