<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Qubba blog</title><link>https://qubba.ai/blog</link><description>Plain answers on marketing, press, AI systems and the tools behind them, from the team at Qubba.</description><language>en</language><item><title>What are agentic workflows? Definition, patterns and examples</title><link>https://qubba.ai/blog/agentic-workflows</link><guid>https://qubba.ai/blog/agentic-workflows</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>An agentic workflow calls a language model several times, with tools and checks between calls, instead of once. The origin, the four patterns, and examples.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>AI acceptable use policy: what it must cover, with a free template</title><link>https://qubba.ai/blog/ai-acceptable-use-policy</link><guid>https://qubba.ai/blog/ai-acceptable-use-policy</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>An AI acceptable use policy tells staff which AI tools they may use, what data never goes in, and how output is checked. What to cover, plus a template to copy.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>AI agent cost: what it takes to build and run one in 2026</title><link>https://qubba.ai/blog/ai-agent-cost</link><guid>https://qubba.ai/blog/ai-agent-cost</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>An AI agent costs a one-off build plus a running cost per task. Here is how to estimate both, with a worked token example at October 2026 prices.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>AI agent examples: 15 real agents and business use cases</title><link>https://qubba.ai/blog/ai-agent-examples</link><guid>https://qubba.ai/blog/ai-agent-examples</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>AI agent examples you can use today, from coding and browser agents to support and research agents, plus business use cases with their tools and approval points.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>AI agent vs chatbot: the real difference and which one you need</title><link>https://qubba.ai/blog/ai-agent-vs-chatbot</link><guid>https://qubba.ai/blog/ai-agent-vs-chatbot</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>A chatbot answers inside a conversation; an AI agent uses tools to finish a task in other systems. Compare tools, memory, autonomy, cost and risk to choose.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>AI automation examples: 15 processes by department</title><link>https://qubba.ai/blog/ai-automation-examples</link><guid>https://qubba.ai/blog/ai-automation-examples</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>Fifteen AI automation examples across finance, sales, support, operations, HR and marketing, each with its trigger, the model&#x27;s job and what a person still checks.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>AI automation for small business: where to start, what it costs</title><link>https://qubba.ai/blog/ai-automation-for-small-business</link><guid>https://qubba.ai/blog/ai-automation-for-small-business</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>AI automation for small business pays off first in inbox triage, quotes, lead follow up, document intake and reporting. Costs, data rules and a 30 day plan.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>AI implementation: a step by step plan that gets past the pilot</title><link>https://qubba.ai/blog/ai-implementation</link><guid>https://qubba.ai/blog/ai-implementation</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>A step by step AI implementation plan: pick one process, baseline it, define correct outputs, pilot with review, expand on evidence. Plus why projects stall.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>AI lead qualification: how to score, route and measure inbound leads</title><link>https://qubba.ai/blog/ai-lead-qualification</link><guid>https://qubba.ai/blog/ai-lead-qualification</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>AI lead qualification uses a model to read each inbound lead, judge fit, intent and timing, and route it fast. How it works, BANT and MEDDIC, and how to measure it.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>CRM automation: what to automate, examples and where AI helps</title><link>https://qubba.ai/blog/crm-automation</link><guid>https://qubba.ai/blog/crm-automation</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>CRM automation lets your CRM handle data entry, routing, follow ups, deal updates and reporting on its own. Examples, HubSpot and Salesforce tools, a checklist.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>Customer support automation: what to automate first, and how</title><link>https://qubba.ai/blog/customer-support-automation</link><guid>https://qubba.ai/blog/customer-support-automation</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>Customer support automation ranges from ticket routing to AI agents that issue refunds. What to automate first, how to measure resolution, and where humans stay.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>How to build an AI agent for your business: a step by step plan</title><link>https://qubba.ai/blog/how-to-build-an-ai-agent</link><guid>https://qubba.ai/blog/how-to-build-an-ai-agent</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>A vendor neutral build plan for a business AI agent: scope one job, map tools and permissions, write tests first, add approval gates, pilot, then measure.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>Human in the loop AI: what it means and where approvals belong</title><link>https://qubba.ai/blog/human-in-the-loop-ai</link><guid>https://qubba.ai/blog/human-in-the-loop-ai</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>Human in the loop AI means a person must approve or correct an AI system&#x27;s output before it takes effect. Where approval gates belong and how to design review.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>Intelligent document processing: what IDP is and how it works</title><link>https://qubba.ai/blog/intelligent-document-processing</link><guid>https://qubba.ai/blog/intelligent-document-processing</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>Intelligent document processing (IDP) turns PDFs, scans and emails into checked, structured data. How the pipeline works, OCR vs IDP vs LLMs, and where it fails.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>Invoice processing automation: how it works, step by step</title><link>https://qubba.ai/blog/invoice-processing-automation</link><guid>https://qubba.ai/blog/invoice-processing-automation</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>Invoice processing automation captures, extracts, matches and routes supplier invoices for approval. The steps, fraud controls and e-invoicing dates that apply.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>LLM hallucination examples: real cases and how systems reduce them</title><link>https://qubba.ai/blog/llm-hallucination-examples</link><guid>https://qubba.ai/blog/llm-hallucination-examples</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>Documented LLM hallucinations from courts, airlines and research, why models make things up, and what a system builder can do to catch and reduce them.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>Multi agent system: how multi-agent AI works and when to use it</title><link>https://qubba.ai/blog/multi-agent-systems</link><guid>https://qubba.ai/blog/multi-agent-systems</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>A multi agent system splits one task across several AI agents, usually a lead agent and workers. How it works, what it costs, why it fails, when to use one.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>n8n vs Make vs Zapier: pricing, hosting and AI compared (2026)</title><link>https://qubba.ai/blog/n8n-vs-make-vs-zapier</link><guid>https://qubba.ai/blog/n8n-vs-make-vs-zapier</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>n8n vs Make vs Zapier compared from each vendor&#x27;s own pages: billing units, prices as of October 2026, self-hosting, AI agents, app counts and data location.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>Prompt injection attacks: how to design AI systems that survive them</title><link>https://qubba.ai/blog/prompt-injection-attacks</link><guid>https://qubba.ai/blog/prompt-injection-attacks</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>Prompt injection is text that hijacks an AI system&#x27;s instructions. Why it cannot be filtered away, and the design controls that limit the damage it can do.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>RAG vs fine-tuning: which one your AI system actually needs</title><link>https://qubba.ai/blog/rag-vs-fine-tuning</link><guid>https://qubba.ai/blog/rag-vs-fine-tuning</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>RAG gives a model your knowledge at question time, fine-tuning changes how it behaves. How to choose, what the research says, and what changed in 2026.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>What is a vector database? Embeddings and similarity search explained</title><link>https://qubba.ai/blog/what-is-a-vector-database</link><guid>https://qubba.ai/blog/what-is-a-vector-database</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>A vector database stores embeddings and finds the items closest in meaning to a query. How it works, when pgvector is enough, and when you need none at all.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>What is AI automation? A precise definition for business owners</title><link>https://qubba.ai/blog/what-is-ai-automation</link><guid>https://qubba.ai/blog/what-is-ai-automation</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>AI automation is a workflow where a model handles the judgment steps that fixed rules cannot, such as reading messy input, classifying it and drafting a reply.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>What is an AI automation agency? What you get and what to own</title><link>https://qubba.ai/blog/what-is-an-ai-automation-agency</link><guid>https://qubba.ai/blog/what-is-an-ai-automation-agency</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>An AI automation agency builds workflows, AI agents and integrations for your business. Here is what they deliver, how they charge, and the red flags to check.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>What is an MCP server? A plain explanation for businesses</title><link>https://qubba.ai/blog/what-is-an-mcp-server</link><guid>https://qubba.ai/blog/what-is-an-mcp-server</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>An MCP server exposes a system&#x27;s data and actions to AI assistants through the Model Context Protocol. What it does, who controls what, and the risks.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>What is business process automation? BPA vs RPA vs AI, explained</title><link>https://qubba.ai/blog/what-is-business-process-automation</link><guid>https://qubba.ai/blog/what-is-business-process-automation</guid><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate><description>Business process automation uses software to run a multi step business process end to end. Here is how it differs from RPA and AI, and how to pick a first process.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>AI agents vs workflow automation: which one your business needs</title><link>https://qubba.ai/blog/ai-agents-vs-workflow-automation</link><guid>https://qubba.ai/blog/ai-agents-vs-workflow-automation</guid><pubDate>Mon, 07 Sep 2026 08:00:00 +0000</pubDate><description>Workflow automation runs steps you designed in advance, while an AI agent decides its own steps at run time. Most processes need the first, and here is how to tell.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>How AI answer engines decide which companies to recommend</title><link>https://qubba.ai/blog/how-to-get-recommended-by-chatgpt</link><guid>https://qubba.ai/blog/how-to-get-recommended-by-chatgpt</guid><pubDate>Mon, 07 Sep 2026 08:00:00 +0000</pubDate><description>ChatGPT, Perplexity, Claude and Google AI Mode recommend companies by retrieving live web pages and citing what those pages say. Here is what decides who gets named.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>Input vs output tokens: what an LLM API actually bills you for</title><link>https://qubba.ai/blog/input-vs-output-tokens</link><guid>https://qubba.ai/blog/input-vs-output-tokens</guid><pubDate>Mon, 07 Sep 2026 08:00:00 +0000</pubDate><description>LLM APIs meter the tokens you send and the tokens the model writes back, and output costs about five times more per token. Here is how a real request adds up.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>Prompt caching explained: why repeated context costs 90% less</title><link>https://qubba.ai/blog/prompt-caching</link><guid>https://qubba.ai/blog/prompt-caching</guid><pubDate>Mon, 07 Sep 2026 08:00:00 +0000</pubDate><description>Prompt caching bills a repeated prompt prefix at a fraction of the input rate. How it works at Anthropic, OpenAI and Google, and when it pays off.</description><author>hello@qubba.ai (FiLo)</author></item><item><title>What llms.txt is, who reads it, and whether your site needs one</title><link>https://qubba.ai/blog/what-is-llms-txt</link><guid>https://qubba.ai/blog/what-is-llms-txt</guid><pubDate>Mon, 07 Sep 2026 08:00:00 +0000</pubDate><description>llms.txt is a markdown file at the root of a site that tells AI models which pages to read. Server log studies show almost nobody fetches it, with one exception.</description><author>hello@qubba.ai (FiLo)</author></item></channel></rss>