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Silent real-time audio copilot that monitors Zoom, Teams, Meet & in-person meetings. It instantly queries your internal RAG knowledge vault and prompts the host with accurate answers as clients ask questions.
LiveAssist runs completely silently in the background. It transcribes incoming speech, filters casual small talk, queries your company docs (RAG) with AES-256 encryption, and prompts the speaker with verified talking points.
Define triggers, daisy-chain multiple AI nodes, and execute tasks autonomously (BYOK Model, 0% markup).
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Cloud SaaS, downloadable ZIP codebases, and custom enterprise AI engineering.
Silent in-meeting AI audio copilot with real-time RAG document retrieval & bilingual translation.
Multi-agent orchestration to automate customer tickets, data ETL, and business ops.
Hire certified senior AI engineers to build custom RAG, fine-tune LLMs, or integrate custom APIs.
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Engineers develop and benchmark systems against security standards.
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AI governance and evaluation Microsoft and CMU to Convene 120 AI Leaders Microsoft Research and Carnegie Mellon University’s AI Measurement Science & Engineering Center will bring 120 leaders to New York on October 22–23, 2026, for a workshop on AI agent evaluation and governance. By the Gate of AI Editorial & Engineering Teams · Updated
Handpicked emerging AI technologies approved by experts.
AI Tool Review Legato Frames are AI hearing glasses that integrate the company’s hearing-assistance technology into the arms of eyewear. Starting at $999, the product is designed for adults with up to moderate hearing loss. Its stated approach is to distinguish voices from background noise and amplify voices, using an open-ear speaker system built into
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Product overview Google Guided Vision in Gemini Live: What to Know Guided Vision is a visual-assistance feature in Gemini Live for Android. It can help people understand what a camera is seeing through a natural conversation, including practical tasks such as reading fine print in low lighting. Google says it is available on Android 9
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Tool Review Updated September 2026 © GateOfAI, LLC Gemini 3.7 Flash is Google’s coding- and agent-focused Flash model. Its verified introductory API price is $0.75 per million input tokens and $3.75 per million output tokens through the end of 2026, although Gemini 3.8 Flash has since succeeded it. At a Glance 🏢 Developer Google 🔗
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Tool Review 2026-09-15 © GateOfAI, LLC Siri AI is the widely used shorthand for Apple’s upgraded Siri experience in iOS 27. The key consideration is not only what the assistant can do, but how Apple’s feature- and request-dependent usage limits can lead to paid extended access. At a Glance 🏢 Developer Apple 🤖 AI Type
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Tutorial scope: This guide covers the parts of Google AI Studio’s app-building experience that are verified by the available source context. It does not provide or claim to validate an OpenAI ChatGPT or Anthropic Claude API integration. Build a Next.js App with Google AI Studio Google AI Studio’s updated app-building experience supports Next.js, React, and
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Technical tutorial · RAG ticket resolution · Intermediate Build a Safer Next.js GPT-4 RAG Ticket Router Design a support-ticket routing workflow that retrieves relevant historical engineering evidence before asking a GPT-4-class model for a recommendation. This version focuses on the capabilities and risks verified in the supplied research: semantic retrieval, re-ranking, evidence-grounded generation, and protection
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Tutorial Intermediate Qdrant FastAPI RAG API: Build a Grounded Service Build a retrieval-augmented generation API with Qdrant semantic search, BAAI/bge-m3 embeddings, FastAPI, LangChain orchestration, GPT-5 generation, and Pydantic response validation. What This Qdrant FastAPI RAG API Builds Retrieval-Augmented Generation, or RAG, connects a language model to an external knowledge collection. Instead of asking a model
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Tutorial Intermediate ⏱ 25 min read © Gate of AI, LLC 2026 Build a LangChain Gemini File Search RAG API Learn how to design a grounded RAG workflow around Gemini API File Search, with managed retrieval, semantic document search, automatic citations, and a clear cost model. What This Tutorial Builds Retrieval-Augmented Generation, commonly called RAG,
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Tutorial Intermediate Build an LLM Fine-Tuning Data Validation Pipeline Use a three-stage fail-fast workflow to check fine-tuning data, run a small validation trial, detect runtime anomalies, and preserve a separate validation set for measuring model behavior. Why Fine-Tuning Validation Must Come First Fine-tuning an LLM is a pipeline rather than a single training command. Before
Start Learning →Beyond the marketing hype. Join Technical Architect Mohammad Saed on an exclusive 4-part cinematic journey decoding the true engineering history of AI—from Alan Turing's early dreams to the reality of Sovereign AI and Edge Tech in 2026.
Exploring the philosophical roots of AI, the Dartmouth workshop, and how Transformers hit the KV Cache wall.
The story of overhyped expectations, the Perceptron limits, and how researchers survived the funding freeze.
How GPUs collided with Big Data to birth AlexNet, rescuing AI from the winter and sparking the neural network revolution.
Our reality in 2026. Why the MENA region is shifting towards Sovereign AI and on-premise edge computing models.
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