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Artificial Intelligence

lyfX.ai is now a member of NVIDIA Inception Program

Proud to share that lyfX.ai is now a member of the NVIDIA Inception Program. We are building AI-native software for process engineering: turning fragmented, document-bound knowledge in the process industries into structured, computable assets. For us, this is both recognition from one of the leading companies in AI and a valuable boost as we continue […]

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lyfX.ai Named an OpenAI Select Partner

9 August 2026: lyfX.ai announced today that ithas been named an OpenAI Select Partner within the OpenAI Partner Network.The OpenAI Partner Network is a global program for partners to build, sell, and deliver AIsolutions with OpenAI. It brings together partners with deep industry expertise, deliverycapabilities, and customer relationships while equipping them with resources, enablement,and support

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Using Agents for Business Development

Tradeshow Scanner An intelligent lead qualification workflow powered by n8n AI Agent, Bright Data, and GPT-5-mini (This post is reproduced from on a Hackaton submission by us – you can access the original post here) Trade shows are goldmines for business development, but manually researching hundreds of exhibitors is time-consuming and inefficient. This workflow automates

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Direct AI Access to Apple Mail: A Custom MCP Solution

Direct AI Access to Apple Mail: A Custom MCP Solution The Model Context Protocol (MCP) opens up exciting possibilities for AI assistance by allowing large language models to directly interact with your local applications and data. Imagine asking Claude to “find that email about the conference deadline” or “show me all emails I sent last

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Building a Lightweight Agentic Workflow

Building a Lightweight Agentic Workflow Use Case For The Real World: Estimating Carbon Footprints Using AI (!) TL;DR for Non-Technical Readers We built a smart, interactive system to quickly estimate the carbon footprint of chemicals. Instead of filling out complicated forms, you can just type questions naturally (like asking the CO₂ emissions of shipping chemicals).

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Streamlining conference networking using AI

Streamlining conference networking using AI 1) Get the participant list from your upcoming trade show or conference. Typically, these are publicly available. For me, it was a (long) plain text file listing exhibitors and participants. 2) Upload the participant list to ChatGPT (use the o3 model – it is worth it) and clearly define what

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