BotiqueAI — Blog
Analysis, guides and experience feedback on applied AI for businesses.
Classifying data with an LLM seems simple, until the AI starts forcing wrong answers or refuses to answer at all. Here's why multi-label classification is a balancing act, and 4 rules to get it right.
LLMs reason internally before producing any output. And some show early signs of introspective awareness. What this means for AI transparency, reliability and trust.
A Microsoft and Salesforce study reveals a 39% average performance drop in multi-turn LLM conversations. What this means for your deployments.
Single agents hit hard limits on complexity. Discover how multi-agent architectures enable scaling with reliability.
A practical two-phase framework (offline and online evaluation) to make LLM features robust, measurable, and production-ready.
The AI customer service market is projected to reach $73.99 billion by 2025. Real-world examples from Ralph Lauren, INSHUR and Telus show what's possible.
Prompt engineering taught us how to talk to AI. Context engineering teaches AI how to work within our world. What this means for enterprise AI systems.
Standard RAG loses context in flat data. Hierarchical RAG introduces structure, letting AI navigate knowledge like a map before zooming in on detail.
LLMs get the spotlight, but SLMs are the real engine for agentic AI: 10-30x cheaper, faster to fine-tune, and purpose-built for modular systems.
ElevenLabs Conversational AI turns any website into a voice-navigated experience: handling navigation, forms and scheduling through natural language. Try Lia, BotiqueAI's voice agent.
80% of production agents use static control flows. 74% rely on human-in-the-loop evaluation. Reliability beats autonomy, every time.
Sycophantic behaviour detected in 58% of tested LLMs. When AI tells you what you want to hear instead of the truth, the consequences can be severe.
Prompt injection is OWASP LLM01 for a reason. It's not a bug you can patch: it's an architectural flaw that requires rethinking how AI systems are built.
A poorly designed chatbot doesn't just miss a sale. It damages your brand. Here are the 3 mistakes behind most failed deployments, and how to avoid them with RAG and multi-agent architecture.
Customer service, leads, follow-ups, content, emails, data extraction: 6 high-ROI AI automations that SMBs are deploying right now.
A chatbot follows scripts. An AI agent reasons and acts. This guide helps you choose the right solution based on your situation and budget.
AI doesn't reduce costs by magic. It frees up human time on repetitive tasks. Here are 4 concrete levers and real figures from our clients.
No developers, no massive IT budget. Here's how SMBs are integrating AI into their daily operations in just a few days, step by step.
WhatsApp has over 2 billion users worldwide. Here's how to deploy an AI chatbot to automate your customer service where your clients already communicate.
97% of your visitors leave without buying. Abandoned carts, conversational shopping assistant, back-office management, agentic commerce: all the ways AI boosts your e-commerce sales.
A lead not called back within 5 minutes is a lost prospect. An AI agent automatically qualifies, scores and routes your leads using the BANT framework.
HubSpot and Pipedrive are powerful, but without AI their potential stays untapped. Automatic enrichment, at-risk deal alerts, smart follow-ups: 5 integrations that make your CRM actually work.
Your website is open 24/7, but is it truly active? An AI agent engages visitors at the right moment, responds in 2 seconds and generates leads while you sleep.