Cloud-Native AI Deployment: A Guide for IT Teams
Discover what cloud-native AI deployment is and how it transforms IT infrastructures. Learn to scale AI applications effectively with our guide.
BotiqueAI — Blog
Analysis, guides and experience feedback on applied AI for businesses.

Discover what cloud-native AI deployment is and how it transforms IT infrastructures. Learn to scale AI applications effectively with our guide.

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Explore how LLMs reason internally, latent chain-of-thought, and introspective awareness, and 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.
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