AI Agents1 month ago
Tavyn AI | The Enterprise Intelligence Layer
Deploy AI agents that automate enterprise workflows by understanding your business logic.
@kr812345 · X
enterprise ai orchestration platforms to automate using tools. @
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Deploy AI agents that automate enterprise workflows by understanding your business logic.
@kr812345 · X
enterprise ai orchestration platforms to automate using tools. @
Create an AI chatbot trained on your website content, documents, and videos.
@ContextGPTai · X
— AI Chatbot That Knows Your Business ContextGPT lets you build an AI chatbot trained on your website, PDFs, Docx, ppts, Youtube, Sharepoint, Notion, Confluence, GitBook, Box, Github, iCloud. Integrate the ai to Slack, Crisp, Zendesk, Freshchat, Zoho,etc
Inspect RAG chunks and visualize AI agent workflows, memory architecture, and execution traces.
@Higgs0110 · X
Generate AI summaries and insights from stock earnings call transcripts.
@thatmarkzhong · X
Upload PDFs and videos to build a visual knowledge map, then query an AI research assistant.
allybahaei · HN
Bring all your sources into a visual space, ask questions with full context, branch LLM conversations, and go deep on YouTube videos / research papers to build your knowledge canvas.
AI search engine that grounds answers in verbatim quotations from sources.
u/Lise_vine23 · Reddit
I made a free, accuracy based alternative to Perplexity Hey everyone! I’m excited to share an early beta of Ping — a free, accuracy based alternative to Perplexity, Google AI mode, and ChatGPT search Here’s what makes Ping different: Accuracy : To me the problem was the AI search was too inaccurate sometimes I always found myself checking the sources and seeing something completely different, Ai search engines today summarize links. Perplexity states: "When you ask Perplexity a ques
AI agent that learns from your documents and Notion to automatically handle customer support.
@vela_cx · X
Deploy AI agents trained on your business data to answer customer questions and qualify leads.
u/george_owen123 · Reddit
What I learned building an AI chatbot: the ecom tools are everywhere, but service businesses are completely underserved Spent the last few months building Chirpy, an AI receptionist for websites, with my co-founder. The biggest thing I've learned is a positioning one, and I think it applies well beyond my niche. When we started, we assumed we'd compete in the ecommerce chatbot space, because that's where all the money and attention is. But it's extremely saturated. Gorgias, Tidio, Intercom,
Analyze health insurance policies and claims to discover coverage details and hidden costs before hospital visits.
@S_Shubham001 · X
🚀 Just launched MediTruth AI! An AI-powered health insurance intelligence layer that decodes policy fine print using RAG & Gemini. Know your claim success & hidden costs BEFORE you enter the hospital. 🏥🛡️ Try it live: #HealthTech #AI #BuildInPublic
AI assistant that answers team questions from shared context with sources.
@nav_ux · X
Get your whole team's AI on the same page.
Give AI agents persistent memory and evidence-based grounding to prevent false claims.
felipemayamuniz · HN
AletheionAGI – Grounding enforcement for AI agents
AI chatbot that answers customer questions based on your website content without human support staff.
@SiddarthaDevops · X