Qubba blog
Plain answers on marketing, press, AI systems and the tools behind them, from the team at Qubba.
What are agentic workflows? Definition, patterns and examples
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.
FiLo, 11 min read
AI acceptable use policy: what it must cover, with a free template
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.
FiLo, 11 min read
AI agent cost: what it takes to build and run one in 2026
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.
FiLo, 11 min read
AI agent examples: 15 real agents and business use cases
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.
FiLo, 10 min read
AI agent vs chatbot: the real difference and which one you need
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.
FiLo, 10 min read
AI automation examples: 15 processes by department
Fifteen AI automation examples across finance, sales, support, operations, HR and marketing, each with its trigger, the model's job and what a person still checks.
FiLo, 9 min read
AI automation for small business: where to start, what it costs
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.
FiLo, 9 min read
AI implementation: a step by step plan that gets past the pilot
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.
FiLo, 10 min read
AI lead qualification: how to score, route and measure inbound leads
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.
FiLo, 10 min read
CRM automation: what to automate, examples and where AI helps
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.
FiLo, 10 min read
Customer support automation: what to automate first, and how
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.
FiLo, 10 min read
How to build an AI agent for your business: a step by step plan
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.
FiLo, 12 min read
Human in the loop AI: what it means and where approvals belong
Human in the loop AI means a person must approve or correct an AI system's output before it takes effect. Where approval gates belong and how to design review.
FiLo, 11 min read
Intelligent document processing: what IDP is and how it works
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.
FiLo, 11 min read
Invoice processing automation: how it works, step by step
Invoice processing automation captures, extracts, matches and routes supplier invoices for approval. The steps, fraud controls and e-invoicing dates that apply.
FiLo, 11 min read
LLM hallucination examples: real cases and how systems reduce them
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.
FiLo, 12 min read
Multi agent system: how multi-agent AI works and when to use it
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.
FiLo, 11 min read
n8n vs Make vs Zapier: pricing, hosting and AI compared (2026)
n8n vs Make vs Zapier compared from each vendor's own pages: billing units, prices as of October 2026, self-hosting, AI agents, app counts and data location.
FiLo, 10 min read
Prompt injection attacks: how to design AI systems that survive them
Prompt injection is text that hijacks an AI system's instructions. Why it cannot be filtered away, and the design controls that limit the damage it can do.
FiLo, 13 min read
RAG vs fine-tuning: which one your AI system actually needs
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.
FiLo, 11 min read
What is a vector database? Embeddings and similarity search explained
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.
FiLo, 10 min read
What is AI automation? A precise definition for business owners
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.
FiLo, 10 min read
What is an AI automation agency? What you get and what to own
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.
FiLo, 9 min read
What is an MCP server? A plain explanation for businesses
An MCP server exposes a system's data and actions to AI assistants through the Model Context Protocol. What it does, who controls what, and the risks.
FiLo, 11 min read
What is business process automation? BPA vs RPA vs AI, explained
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.
FiLo, 10 min read
AI agents vs workflow automation: which one your business needs
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.
FiLo, 8 min read
How AI answer engines decide which companies to recommend
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.
FiLo, 9 min read
Input vs output tokens: what an LLM API actually bills you for
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.
FiLo, 8 min read
Prompt caching explained: why repeated context costs 90% less
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.
FiLo, 8 min read
What llms.txt is, who reads it, and whether your site needs one
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.
FiLo, 8 min read