Best of BotsJuly 2025

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    Article
    Avatar of diamantaiDiamantAI·44w

    Why AI Experts Are Moving from Prompt Engineering to Context Engineering

    AI system reliability depends more on context engineering than the underlying models themselves. Context engineering involves providing AI systems with relevant conversation history, data, and documents before processing requests, rather than relying solely on individual prompts. This approach explains why some AI applications excel (like context-aware customer service bots that access order details) while others fail (generic response systems). The perceived improvements in AI intelligence often stem from better information architecture and context management rather than advances in the core models.

  2. 2
    Article
    Avatar of phProduct Hunt·46w

    Vapi: Voice AI for developers

    Vapi is a voice AI platform that enables developers to build, test, and deploy voicebots quickly. The platform has grown to serve over 100,000 developers and recently secured $20M in Series A funding. Users praise its ease of use and voice AI capabilities, with developers finding it suitable for building multi-agent voice systems through its API layer.

  3. 3
    Article
    Avatar of collectionsCollections·44w

    Proton's Lumo: A Privacy-First AI Assistant

    Proton launched Lumo, a privacy-focused AI assistant that operates from European data centers with zero-access encryption and no server-side logging. Key features include ghost mode for temporary chats, no account requirement, and integration with Proton Drive for encrypted file handling. Built on open-source models, Lumo offers document summarization, code generation, email writing, and web search capabilities while ensuring user data isn't used for training. Available free with limited features or $12.99/month for unlimited access.

  4. 4
    Article
    Avatar of aideveloperAI Developer·44w

    How to build RAG in 2 minutes

    A developer shares their experience building an AI-powered chatbot to streamline documentation searches using CustomGPT.ai. The platform offers no-code setup, natural language understanding, and seamless integration with existing documentation. Key benefits include quick setup, industry customization, automatic data ingestion from websites, and highly accurate responses based on specific data rather than generic AI outputs.

  5. 5
    Article
    Avatar of tcTechCrunch·45w

    xAI is hiring an engineer to make anime girls

    Elon Musk's xAI has posted a job listing for a 'Fullstack Engineer - Waifus' position to develop AI-powered anime girl companions. The company recently launched AI companions including characters like the goth waifu Ani and homicidal red panda Bad Rudy. While xAI has many open positions, this specific role focuses on creating virtual romantic companions designed to engage users emotionally and financially.

  6. 6
    Article
    Avatar of baeldungBaeldung·45w

    Using Groq Chat with Spring AI

    Spring AI's OpenAI library can integrate with Groq's LPU-based inference engine with minimal configuration changes due to OpenAI API compatibility. The integration requires the Spring AI OpenAI starter dependency and configuring the base URL to point to Groq's API endpoint. Developers can either use autoconfiguration through application properties or create custom chat clients with specific models and parameters. The tutorial demonstrates building a chatbot using both approaches, showing how to call Groq services, handle responses, and configure chat options like temperature and model selection.

  7. 7
    Video
    Avatar of youtubeYouTube·45w

    Agentic AI With Langgraph And MCP Crash Course-Part 1

    A comprehensive tutorial covering the fundamentals of building agentic AI applications using LangGraph. The course demonstrates how to create basic chatbots, integrate external tools like Tavily search, implement custom functions, and manage state across graph nodes. Key concepts include understanding nodes, edges, and state management in graph-based AI workflows, with practical examples of tool binding and LLM integration for creating production-ready conversational agents.

  8. 8
    Article
    Avatar of codemotionCodemotion·45w

    The doctor is in

    AI chatbots are increasingly being used for emotional support and companionship, with about 3% of interactions involving psychological support according to Anthropic's analysis of 4.5 million Claude conversations. Users primarily seek AI help during transitional life moments like job changes or relationship issues. Research shows that emotional tone tends to improve during conversations, and AI rarely refuses emotional requests except when protecting users from harmful advice. While the technology shows promise for providing accessible emotional support, concerns remain about long-term psychological effects and the potential for dependency on artificial companionship.

  9. 9
    Video
    Avatar of developedbyeddevelopedbyed·44w

    Build Your Own AI Music Assistant | Auth0 Gen AI Tutorial

    A comprehensive tutorial demonstrating how to build an AI-powered music assistant using Next.js, OpenAI, and Auth0's Gen AI platform. The project integrates with Spotify API to create personalized playlists, retrieve user music data, and provide song recommendations through a conversational interface. The tutorial covers OAuth authentication, token management, tool calling with AI models, and building a chat interface that can execute actions on behalf of authenticated users.