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32 contributions to Legal Launchpad for AIpreneurs
I automated my industry newsletter with AI agents in n8n. This saves me hours every week.
Context I work in the food distribution. I need to track AI and VR developments and share insights with partners .Manual research and writing did not scale. Starting point I use Claude as the first thinking layer.Claude helps frame the topic and structure.From there, n8n takes over. The setup - One form trigger with topic, tone, and audience - Claude connected to n8n to kick off the workflow - Multi-agent flow for research, planning, and editing - Live web research with real sources - Automatic HTML newsletter generation - Auto-send to Gmail What happens - One click starts the full process - Each section gets researched separately - Content is merged into one clear newsletter - Output is ready to share or publish Results - 5 to 7 hours of work reduced to about 2 minutes - Consistent quality - Up-to-date sources - No manual formatting Tech stack - n8n for orchestration - Claude as the starting point - AI agents for research and editing - Tavily for live search - Gmail for delivery Next steps - Weekly scheduled runs - LinkedIn posting - Audience-specific versions Question for you.Which content tasks are you automating right now.
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I automated my industry newsletter with AI agents in n8n. This saves me hours every week.
What is your focus for 2026 in the AI space ?
One of the focus areas will be for me, building & implementing solution in the food space based such as : - AI-Powered Sales Intelligence for Food Distribution & Food Service - Implementation of the AI Product development platform in CPG's - AI for Education Scale (Uganda Initiative) and build on that - Finding the right partners to build a global network - Building my linkedin group AI Automation & VR Tools In The Food & Beverage Industry What is your focus for 2026 and how do you want to collaborate? we can have a chat or a call let me know
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What is your focus for 2026 in the AI space ?
Advancing Food & Beverage Innovation with AI, VR, and Predictive Technologies
The food and beverage industry stands at a pivotal juncture where Artificial Intelligence (AI), Virtual Reality (VR), and predictive maintenance technologies are driving transformative innovation. For business owners, CEOs, and product developers, understanding these advancements is crucial to enhancing operational efficiency, accelerating product development, and deepening consumer engagement. This newsletter explores three critical areas reshaping the sector: AI and VR integration, predictive maintenance breakthroughs, and virtual taste testing for flavor innovation. Introduction to AI and VR in the Food amp; Beverage Industry Artificial Intelligence and Virtual Reality are revolutionizing how food and beverage companies develop products and engage consumers. AI platforms now enable small and mid sized manufacturers to access real-time operational insights and make informed, data driven decisions once only feasible for large corporations. These systems optimize production processes, anticipate demand, and tailor products to evolving consumer needs, fueling innovation and operational excellence. On the customer side, VR creates immersive brand experiences from virtual tastings to interactive storytelling while AI analytics reveal detailed consumer preferences across occasions and product functionalities. This dual approach facilitates targeted launches and personalized marketing strategies in a competitive marketplace, positioning AI and VR as essential tools for smart innovation and enriched consumer connections , FoodNavigator. Predictive Maintenance: Revolutionizing Operational Efficiency Predictive maintenance powered by AI is fundamentally transforming food production by reducing downtime and extending equipment lifespan. Technologies like Tracktileโ€™s AI driven platforms consolidate production data to offer real-time factory floor insights, enabling swift, informed decisions that minimize disruptions a capability previously limited to larger enterprises. Moreover, solutions such as IFS Resolve incorporate sensor inputs and equipment imagery to predict failures before they occur, empowering frontline workers with actionable insights. This preventative approach improves operational uptime, lowers maintenance costs, and sustains competitive advantage across food and beverage manufacturing , Automation World
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Advancing Food & Beverage Innovation with AI, VR, and Predictive Technologies
This Night of 11 December at the n8n Builder Session in Amsterdam!
This evening I had the privilege of attending the n8n Builder Session here in Amsterdam and what an evening it was. Full house, massive high energy, and a room full of automation enthusiasts ready to learn and connect. Huge thanks to Aemal Sayer for leading an incredibly handson session covering: # MCP (Model Context Protocol) # JSON fundamentals # Webhook data tables # Postman integration # Live building โ€” learning by doing Great highlight was as well for me. Having a conversation with Jan Oberhauser, founder and CEO of n8n, about how I'm using the platform to empower students in Uganda. Sharing how open source automation tools can create real opportunities in emerging markets that's what this community is all about. Events like these remind me why I love this space. It's not just about workflows and nodes. It's about connecting with like minded people who share the same vision: building a better world, one automation at a time. Already looking forward to the next one.
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This Night of 11 December at the n8n Builder Session in Amsterdam!
n8n Builder Sessions: Amsterdam [Intermediate level]
Tomorrow 10 December N8N building session in Amsterdam who is going ? https://luma.com/81wyd2vh?tk=mua44g Iam going and I was wondering who else is joining as well . Let me know it is nice to connect with like minded people
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n8n Builder Sessions: Amsterdam [Intermediate level]
1-10 of 32
Frank van Bokhorst
4
45points to level up
@frank-van-bokhorst-2720
Serial Entrepreneur in Food & Tech

Active 4m ago
Joined Aug 4, 2025
ENFP
Amsterdam zuid
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