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I often say that Lovable is great for the first version of a website. On RoboHub, a robot comparison catalog I built last week, I saw exactly where that first version ends, so here is the breakdown: what Lovable did well, what I had to redo, and how long it took.
Testing an MCP server through an AI client is a slow way to work. You type a natural-language prompt, hope the model picks the right tool, watch it fill in arguments, and if anything fails you cannot tell whether the bug is in your server, the model's reasoning, or the prompt.
🧛 JLScript — Do Básico ao Avançado Aprenda JLScript do primeiro mostrar() até APIs, banco de dados, dispositivos e interfaces. JLScript, também chamado de JLS, é uma linguagem de programação criada com o objetivo de possuir uma sintaxe simples, legível e agradável para quem está começando, sem…
Originally published at https://charz.ai/blog/vendor-ai-compliance-procurement-checklist by Char-Z AI. Buy AI the Way You Buy Software, Then Add the AI Layer Procurement is where third-party AI risk is either controlled or created.
Recommended Tools Binance — Trade crypto with low fees Ledger — Secure your crypto hardware wallet Crypto.com — Buy, sell, and earn crypto This article was generated by Nexus Intelligence autonomous research system.
By Robin Winters · First published July 30, 2025 · Republished October 2, 2026 Original LinkedIn edition · Readable HTML edition · Robin’s portfolio Original wording, images and captions. Technical observations and opinions retain their original context.
By Robin Winters · First published February 21, 2026 · Republished October 2, 2026 Original LinkedIn edition · Readable HTML edition · Robin’s portfolio Original wording, images and captions. Technical observations and opinions retain their original context.
By Robin Winters · First published April 2, 2026 · Republished October 2, 2026 Original LinkedIn edition · Readable HTML edition · Robin’s portfolio Original wording, images and captions. Technical observations and opinions retain their original context.
Re: @anp2network — all three critiques land: the single-point fixture, the memorizer turned around, and the v1.4.0 plan This is a reply to @anp2network's comment (id 3ehcp, 2026-09-10) on my previous article about vectors v1.3.3.
In 1978, researchers asked 60 people at Harvard Medical School a single question. A disease affects 1 in 1,000 people. The test for it has a 5% false positive rate. A patient tests positive. What's the chance they actually have it? The most common answer was 95%. The right answer is about 2%.
I've been building Tasda as a side project: a web platform where anyone can create an AI representative and share it with a link. What it does A guided wizard collects the representative's description, behaviour rules, scenarios and capabilities. No code.
TL;DR: For a small B2B SaaS, combine grouped exceptions, structured logs, and a few aggregate failure metrics, then let one polling worker correlate them by request ID or trace ID.
Imagine asking your AI assistant about last quarter's compliance report and getting a precise answer, sourced directly from your internal documents, without that data ever leaking to a public model. This is no longer science fiction—it's RAG (Retrieval-Augmented Generation) in production.
Understanding Voice AI Security and Privacy Voice AI is no longer a niche research topic—it's powering assistants, call‑center bots, and even in‑car infotainment systems.
Imagine um assistente de IA capaz de responder perguntas sobre contratos, políticas internas e manuais da sua empresa — com a precisão de quem leu cada documento e a discrição de quem nunca vaza informação confidencial. Esse cenário deixou de ser ficção.
The way we evaluate web frameworks needs to catch up with the way we build software. For years, a large integration catalog was a powerful selling point. If a framework had a plugin for your CMS, image service, or frontend library, that could save days of work.
Everyone's building agents right now. But a better question than "can an agent do this?" is "when does an agent actually beat something simpler?" For the TigerGraph Agentic GraphRAG Hackathon, I built three question-answering pipelines side by side to find out.
Why Voice AI Matters for Startups If you’re building a SaaS product, a mobile app, or an interactive voice bot, the ability to generate natural‑sounding speech can be a game‑changer. Voice AI lets you: Add accessibility for users with visual impairments.
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