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    AI Topics

    Series in this Category

    AI Tools & Infrastructure for Developers

    Compare AI infrastructure options and build production AI tools: self-hosted models vs API providers, LLM inference engines, OCR, vector sync, and MCP integrations.

    0 Articles
    about 2 months ago

    All Articles in this Category

    Close the website intake gap with lead qualification, routing, and CRM enrichment to stop manual triage
    AI
    Sales Process Automation: Fix Your Website Intake Now

    Most sales process automation starts after lead capture. Automate website intake to qualify, enrich, and route leads so reps focus on high-fit deals today.

    Matija Žiberna
    Matija Žiberna
    about 1 month ago
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    Stay Updated

    Get practical notes and implementation updates without the noise.

    Diagnose why chatbots underperform for lead generation and implement CRM sync, scoring, routing, and SLA-driven…
    AI
    Why Chatbot Lead Generation Fails — 5 System Fixes

    Learn why chatbot lead generation fails and how to fix it: short qualification, CRM sync, confidence scoring, calendar handoffs, and SLA triggers to save leads.

    Matija Žiberna
    Matija Žiberna
    about 1 month ago
    Compare costs, compliance, and hybrid serverless GPU options to pick the right AI infrastructure for your business
    AI
    Self-Hosted AI vs API Providers: Decision Framework

    Self-hosted AI vs API providers: a practical framework to weigh cost, compliance, and ops risk so you can pick the right infrastructure and avoid costly…

    Matija Žiberna
    Matija Žiberna
    about 2 months ago
    Step-by-step Ollama setup for GLM-OCR on macOS — pull the model, set num_ctx=16384, and run a local OpenAI‑compatible…
    AI
    Ultimate Guide: Run GLM-OCR Locally on MacBook Fast

    Run GLM-OCR locally on your MacBook with Ollama—install, pull the 0.9B model, set num_ctx=16384 to avoid crashes, and run a local OpenAI‑compatible OCR API in…

    Matija Žiberna
    Matija Žiberna
    2 months ago
    Benchmark-backed guide comparing vLLM, Ollama, and TGI — throughput, concurrency, scaling, and observability to choose…
    AI
    LLM Inference Engine Showdown: vLLM vs Ollama vs TGI

    Decide the best LLM inference engine for your deployment with benchmarked throughput, latency, and scaling guidance—clear recommendations for vLLM, Ollama…

    Matija Žiberna
    Matija Žiberna
    2 months ago
    Minimalistic calendar icon with a small warning dot and shield next to a simple one stage sales pipeline on a solid color background
    AI
    Sales Enablement Website: What Role Should It Play?

    Why a sales enablement website matters: align marketing and sales, answer buyers' key questions early, and make sales calls more informed and productive.

    Matija Žiberna
    Matija Žiberna
    3 months ago
    A central AI processor chip connecting to business icons and charts, representing artificial intelligence controlling corporate workflows on a clean background.
    AI
    There's a New $500/Hour Consulting Gig: AI Architect

    Learn why AI adoption in business lags market hype, the three adoption phases, and how AI Architects build agentic systems that unlock real enterprise value.

    Matija Žiberna
    Matija Žiberna
    3 months ago
    Horizontal illustration comparing developer experience across OpenAI, MCP server, and multiple LLM providers using a clean dark background and abstract development setup
    AI
    Building Secure Multi-User MCP Servers: Claude vs OpenAI's Authentication Gap

    MCP server integration comparison: why Claude’s OAuth 2.1 flow offers better developer experience, per-user auth, and security—essential reading for engineers.

    Matija Žiberna
    Matija Žiberna
    4 months ago
    Illustration showing Google Gemini integrated with Zod v4 schemas to produce structured data output on a clean light background
    AI
    Zod v4 & Gemini: Fix Structured Output with z.toJSONSchema

    Fix Gemini structured output by switching to Zod v4's z.toJSONSchema. Replace zod-to-json-schema and produce valid JSON schemas so AI returns correct fields.

    Matija Žiberna
    Matija Žiberna
    4 months ago
    Illustration showing ChatGPT and Claude accessing Google Search Console insights through an MCP server using Next.js and the Search Console API
    AI
    Build a Claude SEO Agent with Google Search Console MCP Integration

    Implement a Google Search Console integration with Claude using MCP: run URL inspections, pull analytics, and build an AI assistant that diagnoses ranking…

    Matija Žiberna
    Matija Žiberna
    4 months ago
    Horizontal illustration showing Upstash and Next.js logos on a dark background, visualizing semantic search and content embedding for a developer blog.
    AI
    Deterministic Upstash Vector Sync: Atomic CMS Indexing

    Learn a deterministic Upstash Vector sync pipeline to keep your CMS and vector database perfectly in sync — atomic updates, chunking, OpenAI embeddings, and…

    Matija Žiberna
    Matija Žiberna
    4 months ago
    MCP for business use case
    AI
    MCP Server For Business: Why Does Your Company Need It

    Stop copying data into ChatGPT—use an MCP server to give AI direct, secure access to your CRM, CMS, and docs. Streamline answers, improve sales and marketing…

    Matija Žiberna
    Matija Žiberna
    4 months ago