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<rss xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0"><channel><title>THE CORE — Viqus AI Blog</title><link>https://viqus.ai/blog</link><description>Deep dives into production AI, LLM infrastructure, cost optimization, and the engineering behind real-world AI systems. By the team at Viqus.</description><language>en</language><lastBuildDate>Sat, 17 Oct 2026 00:48:54 GMT</lastBuildDate><atom:link href="https://viqus.ai/blog/rss.xml" rel="self" type="application/rss+xml" /><image><url>https://viqus.ai/img/icono.png</url><title>THE CORE — Viqus AI Blog</title><link>https://viqus.ai/blog</link><width>144</width><height>144</height></image><item><title>Reasoning Models vs Standard LLMs: When the Extra Latency Earns Its Keep</title><link>https://viqus.ai/blog/reasoning-models-vs-standard-llms-when-each-wins</link><guid isPermaLink="true">https://viqus.ai/blog/reasoning-models-vs-standard-llms-when-each-wins</guid><description>A practical comparison of reasoning models and standard LLMs in 2026. Learn where the extra latency and cost of thinking variants actually pay off, and where standard models are the better choice.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/reasoning-models-vs-standard-llms-when-each-wins-og.webp" length="71762" type="image/webp" /><pubDate>Thu, 07 May 2026 09:00:00 GMT</pubDate></item><item><title>When to Stop Using Agents and Go Back to Pipelines</title><link>https://viqus.ai/blog/when-to-stop-using-agents-go-back-to-pipelines</link><guid isPermaLink="true">https://viqus.ai/blog/when-to-stop-using-agents-go-back-to-pipelines</guid><description>A contrarian take on when to ditch AI agents and use deterministic pipelines instead. Learn the warning signs that an agent is the wrong tool, and how to migrate without losing capability.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/when-to-stop-using-agents-go-back-to-pipelines-og.webp" length="39512" type="image/webp" /><pubDate>Tue, 05 May 2026 09:00:00 GMT</pubDate></item><item><title>The Observability Cost Nobody Budgets For: What LLM Monitoring Really Adds to the Bill</title><link>https://viqus.ai/blog/observability-cost-llm-monitoring-bill</link><guid isPermaLink="true">https://viqus.ai/blog/observability-cost-llm-monitoring-bill</guid><description>A practical look at the real cost of LLM observability in production. Covers storage costs, what to log versus skip, sampling strategies, and how to keep the monitoring bill from rivaling the inference bill.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/observability-cost-llm-monitoring-bill-og.webp" length="101186" type="image/webp" /><pubDate>Thu, 30 Apr 2026 09:00:00 GMT</pubDate></item><item><title>When to Fire Your AI Feature: A Founder's Decision Framework</title><link>https://viqus.ai/blog/when-to-fire-your-ai-feature</link><guid isPermaLink="true">https://viqus.ai/blog/when-to-fire-your-ai-feature</guid><description>A practical framework for deciding when to kill an underperforming AI feature. Covers the warning signs, the sunk cost traps, and the structured process for making the decision without regrets.</description><dc:creator>Pablo Serrano</dc:creator><category>Strategy</category><enclosure url="https://viqus.ai/blog/img/when-to-fire-your-ai-feature-og.webp" length="83018" type="image/webp" /><pubDate>Tue, 28 Apr 2026 09:00:00 GMT</pubDate></item><item><title>Versioning Prompts and Contexts: Lessons from 18 Months of Mistakes</title><link>https://viqus.ai/blog/versioning-prompts-contexts-lessons-learned</link><guid isPermaLink="true">https://viqus.ai/blog/versioning-prompts-contexts-lessons-learned</guid><description>A practical guide to versioning prompts, contexts, and retrieval configurations in production AI systems. Covers what to version, how to test changes, and the rollback patterns that save you when something breaks.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/versioning-prompts-contexts-lessons-learned-og.webp" length="90100" type="image/webp" /><pubDate>Thu, 23 Apr 2026 09:00:00 GMT</pubDate></item><item><title>Multi-Tenant LLM Serving: How the Math Actually Works</title><link>https://viqus.ai/blog/multi-tenant-llm-serving-economics</link><guid isPermaLink="true">https://viqus.ai/blog/multi-tenant-llm-serving-economics</guid><description>A practical breakdown of multi-tenant LLM serving economics. Covers batching strategies, isolation approaches, fairness, and the architectural choices that determine whether your platform makes money.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/multi-tenant-llm-serving-economics-og.webp" length="97402" type="image/webp" /><pubDate>Tue, 21 Apr 2026 09:00:00 GMT</pubDate></item><item><title>The State of Structured Outputs in 2026: A Cross-Provider Reality Check</title><link>https://viqus.ai/blog/state-of-structured-outputs-2026</link><guid isPermaLink="true">https://viqus.ai/blog/state-of-structured-outputs-2026</guid><description>A practical comparison of structured output guarantees across major LLM providers in 2026. Learn what 'guaranteed' actually means, where each provider falls short, and how to design for portability.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/state-of-structured-outputs-2026-og.webp" length="77294" type="image/webp" /><pubDate>Thu, 16 Apr 2026 09:00:00 GMT</pubDate></item><item><title>Async Agent Architectures: Queue-Based vs Streaming, and When Each Wins</title><link>https://viqus.ai/blog/async-agent-architectures-queue-vs-streaming</link><guid isPermaLink="true">https://viqus.ai/blog/async-agent-architectures-queue-vs-streaming</guid><description>A practical comparison of async agent architectures. Learn when queue-based designs beat streaming pipelines, and how to choose the right pattern for your AI workload.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/async-agent-architectures-queue-vs-streaming-og.webp" length="88302" type="image/webp" /><pubDate>Tue, 14 Apr 2026 09:00:00 GMT</pubDate></item><item><title>The Rise of AI-First Product Roles: What PMs Need to Unlearn</title><link>https://viqus.ai/blog/ai-first-product-roles-pm-unlearn</link><guid isPermaLink="true">https://viqus.ai/blog/ai-first-product-roles-pm-unlearn</guid><description>How product management is changing in the AI era. Learn what skills AI-first PMs need, which habits to unlearn, and how the role is evolving as LLM-powered products become standard.</description><dc:creator>Pablo Serrano</dc:creator><category>Strategy</category><enclosure url="https://viqus.ai/blog/img/ai-first-product-roles-pm-unlearn-og.webp" length="99040" type="image/webp" /><pubDate>Thu, 09 Apr 2026 09:00:00 GMT</pubDate></item><item><title>Measuring ROI on AI Projects: A Framework That Survives Executive Scrutiny</title><link>https://viqus.ai/blog/measuring-roi-ai-projects-framework</link><guid isPermaLink="true">https://viqus.ai/blog/measuring-roi-ai-projects-framework</guid><description>A practical framework for measuring the ROI of AI and LLM projects. Covers cost attribution, value measurement, leading indicators, and how to communicate results to executives.</description><dc:creator>Pablo Serrano</dc:creator><category>Strategy</category><enclosure url="https://viqus.ai/blog/img/measuring-roi-ai-projects-framework-og.webp" length="74760" type="image/webp" /><pubDate>Mon, 06 Apr 2026 09:00:00 GMT</pubDate></item><item><title>Long Context or RAG? Rethinking Retrieval in the Million-Token Era</title><link>https://viqus.ai/blog/long-context-vs-rag-million-token-era</link><guid isPermaLink="true">https://viqus.ai/blog/long-context-vs-rag-million-token-era</guid><description>A practical comparison of long-context LLMs and RAG pipelines in 2026. Learn when long context wins, when RAG still dominates, and how to build hybrid systems that get the best of both.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/long-context-vs-rag-million-token-era-og.webp" length="115608" type="image/webp" /><pubDate>Thu, 02 Apr 2026 09:00:00 GMT</pubDate></item><item><title>Your Eval Suite Is Your Moat: Treating Evaluation as Product IP</title><link>https://viqus.ai/blog/eval-suites-as-product-ip</link><guid isPermaLink="true">https://viqus.ai/blog/eval-suites-as-product-ip</guid><description>Why evaluation suites are becoming the most important intellectual property in LLM products. Learn how to build, grow, and protect an eval set that actually drives product quality.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/eval-suites-as-product-ip-og.webp" length="88908" type="image/webp" /><pubDate>Mon, 30 Mar 2026 09:00:00 GMT</pubDate></item><item><title>Prompt Injection Defense: A Practitioner's Playbook</title><link>https://viqus.ai/blog/prompt-injection-defense-playbook</link><guid isPermaLink="true">https://viqus.ai/blog/prompt-injection-defense-playbook</guid><description>A practical guide to defending against prompt injection attacks in LLM applications. Covers direct and indirect injection, defense-in-depth patterns, and what actually works in production.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/prompt-injection-defense-playbook-og.webp" length="67720" type="image/webp" /><pubDate>Thu, 26 Mar 2026 09:00:00 GMT</pubDate></item><item><title>Model Routing in 2026: Why Shipping a Single Model Is Already Obsolete</title><link>https://viqus.ai/blog/model-routing-2026-single-model-obsolete</link><guid isPermaLink="true">https://viqus.ai/blog/model-routing-2026-single-model-obsolete</guid><description>Why model routing has become standard in production LLM systems. Learn how to design cascades, score models per task, and build routing logic that balances cost, latency, and quality.</description><dc:creator>Pablo Serrano</dc:creator><category>Strategy</category><enclosure url="https://viqus.ai/blog/img/model-routing-2026-single-model-obsolete-og.webp" length="84474" type="image/webp" /><pubDate>Mon, 23 Mar 2026 09:00:00 GMT</pubDate></item><item><title>Guardrails That Hold: Input and Output Safety for Production LLMs</title><link>https://viqus.ai/blog/guardrails-input-output-safety-llms</link><guid isPermaLink="true">https://viqus.ai/blog/guardrails-input-output-safety-llms</guid><description>A practical guide to building effective guardrails for LLM applications. Covers input validation, output filtering, classifier layers, and how to evaluate guardrail effectiveness.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/guardrails-input-output-safety-llms-og.webp" length="101962" type="image/webp" /><pubDate>Thu, 19 Mar 2026 09:00:00 GMT</pubDate></item><item><title>LLM Gateways: The Abstraction Layer Every AI Team Eventually Builds</title><link>https://viqus.ai/blog/llm-gateways-abstraction-layer</link><guid isPermaLink="true">https://viqus.ai/blog/llm-gateways-abstraction-layer</guid><description>Why most AI teams end up building an LLM gateway — and what should go into one. Covers routing, fallbacks, rate limits, caching, cost tracking, and when to build versus buy.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/llm-gateways-abstraction-layer-og.webp" length="89648" type="image/webp" /><pubDate>Mon, 16 Mar 2026 09:00:00 GMT</pubDate></item><item><title>Mixture of Experts in Production: Why Active Parameters Matter More Than Total</title><link>https://viqus.ai/blog/mixture-of-experts-production-active-parameters</link><guid isPermaLink="true">https://viqus.ai/blog/mixture-of-experts-production-active-parameters</guid><description>A practical look at Mixture of Experts (MoE) architectures in production. Learn why active parameter count matters more than total, how MoE affects deployment, and when it's worth the complexity.</description><dc:creator>Pablo Serrano</dc:creator><category>AI Research</category><enclosure url="https://viqus.ai/blog/img/mixture-of-experts-production-active-parameters-og.webp" length="90970" type="image/webp" /><pubDate>Thu, 12 Mar 2026 09:00:00 GMT</pubDate></item><item><title>The KV Cache: The Hidden Bottleneck of Long-Context LLMs</title><link>https://viqus.ai/blog/kv-cache-hidden-bottleneck-long-context</link><guid isPermaLink="true">https://viqus.ai/blog/kv-cache-hidden-bottleneck-long-context</guid><description>Understand the KV cache — the memory structure behind every transformer — and why it's the real bottleneck for long-context LLMs. Covers compression techniques, quantization, and production implications.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/kv-cache-hidden-bottleneck-long-context-og.webp" length="117306" type="image/webp" /><pubDate>Mon, 09 Mar 2026 09:00:00 GMT</pubDate></item><item><title>Dynamic Tool Retrieval: How Agents Scale Past 50 Tools</title><link>https://viqus.ai/blog/dynamic-tool-retrieval-scaling-agents</link><guid isPermaLink="true">https://viqus.ai/blog/dynamic-tool-retrieval-scaling-agents</guid><description>Learn how dynamic tool retrieval lets AI agents scale to hundreds of tools without exploding their context window. Covers indexing strategies, retrieval patterns, and the tradeoffs involved.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/dynamic-tool-retrieval-scaling-agents-og.webp" length="66902" type="image/webp" /><pubDate>Thu, 05 Mar 2026 09:00:00 GMT</pubDate></item><item><title>Context Engineering: The New Discipline Replacing Prompt Engineering</title><link>https://viqus.ai/blog/context-engineering-replacing-prompt-engineering</link><guid isPermaLink="true">https://viqus.ai/blog/context-engineering-replacing-prompt-engineering</guid><description>Context engineering is the emerging discipline of shaping everything an LLM sees — not just the prompt. Learn what it involves, why it matters more than prompt engineering, and how to do it well.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/context-engineering-replacing-prompt-engineering-og.webp" length="101830" type="image/webp" /><pubDate>Mon, 02 Mar 2026 09:00:00 GMT</pubDate></item><item><title>LLM Caching Strategies: Cut Your Inference Bill Without Cutting Corners</title><link>https://viqus.ai/blog/llm-caching-strategies-production</link><guid isPermaLink="true">https://viqus.ai/blog/llm-caching-strategies-production</guid><description>A practical guide to caching strategies for production LLM applications. Covers semantic caching, prefix caching, response caching, and when each approach saves real money.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/llm-caching-og.webp" length="83834" type="image/webp" /><pubDate>Thu, 26 Feb 2026 09:00:00 GMT</pubDate></item><item><title>The Global AI Infrastructure Race in 2026: Who is Winning the Battle for Compute?</title><link>https://viqus.ai/blog/global-ai-infrastructure-race-2026</link><guid isPermaLink="true">https://viqus.ai/blog/global-ai-infrastructure-race-2026</guid><description>An in-depth analysis of the 2026 global AI infrastructure race. Explore how the US, China, India, and Saudi Arabia are investing billions in sovereign compute and silicon.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/img/global-ai-infrastructure-og.webp" length="96916" type="image/webp" /><pubDate>Wed, 25 Feb 2026 16:23:00 GMT</pubDate></item><item><title>Designing AI-Native Applications: Beyond the Chat Interface</title><link>https://viqus.ai/blog/ai-native-applications-design</link><guid isPermaLink="true">https://viqus.ai/blog/ai-native-applications-design</guid><description>How to design AI-native applications that go beyond chatbots. Covers UX patterns, progressive disclosure of AI, confidence communication, and the principles of AI-first product design.</description><dc:creator>Pablo Serrano</dc:creator><category>Strategy</category><enclosure url="https://viqus.ai/blog/img/ai-native-design-og.webp" length="67698" type="image/webp" /><pubDate>Tue, 24 Feb 2026 09:00:00 GMT</pubDate></item><item><title>Embedding Models: The Unsung Heroes of Every AI Application</title><link>https://viqus.ai/blog/embedding-models-unsung-heroes</link><guid isPermaLink="true">https://viqus.ai/blog/embedding-models-unsung-heroes</guid><description>A deep dive into embedding models and why they matter more than you think. Covers model selection, fine-tuning, evaluation, and practical tips for better embeddings in production.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/embedding-models-og.webp" length="91646" type="image/webp" /><pubDate>Sat, 21 Feb 2026 09:00:00 GMT</pubDate></item><item><title>Building Reliable AI Pipelines: Lessons from 100 Deployments</title><link>https://viqus.ai/blog/building-reliable-ai-pipelines</link><guid isPermaLink="true">https://viqus.ai/blog/building-reliable-ai-pipelines</guid><description>Practical lessons for building reliable AI pipelines. Covers error handling, testing strategies, fallback patterns, and production guardrails from real-world deployments.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/reliable-ai-pipelines-og.webp" length="87750" type="image/webp" /><pubDate>Fri, 20 Feb 2026 09:00:00 GMT</pubDate></item><item><title>The EU AI Act in Practice: What Builders Actually Need to Do in 2026</title><link>https://viqus.ai/blog/ai-regulation-europe-builders</link><guid isPermaLink="true">https://viqus.ai/blog/ai-regulation-europe-builders</guid><description>A practical guide to the EU AI Act for AI builders and product teams in 2026. Covers risk classification, compliance requirements, documentation, and actionable steps.</description><dc:creator>Pablo Serrano</dc:creator><category>Policy</category><enclosure url="https://viqus.ai/blog/img/eu-ai-act-builders-og.webp" length="47814" type="image/webp" /><pubDate>Tue, 17 Feb 2026 09:00:00 GMT</pubDate></item><item><title>Prompt Engineering Is Dead. Long Live Prompt Engineering.</title><link>https://viqus.ai/blog/prompt-engineering-dead-long-live</link><guid isPermaLink="true">https://viqus.ai/blog/prompt-engineering-dead-long-live</guid><description>How prompt engineering is evolving from ad-hoc craft to systematic discipline. Covers structured prompting, evaluation-driven design, and the tools and practices that define modern prompt work.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/prompt-engineering-og.webp" length="96658" type="image/webp" /><pubDate>Sun, 15 Feb 2026 09:00:00 GMT</pubDate></item><item><title>Vector Databases in 2026: A Practical Comparison for Production Teams</title><link>https://viqus.ai/blog/vector-databases-compared</link><guid isPermaLink="true">https://viqus.ai/blog/vector-databases-compared</guid><description>A practical comparison of vector databases for production AI systems in 2026. Covers Pinecone, Weaviate, Qdrant, Milvus, pgvector, and when to choose each.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/vector-db-compared-og.webp" length="84468" type="image/webp" /><pubDate>Fri, 13 Feb 2026 09:00:00 GMT</pubDate></item><item><title>RAG Chunking Strategies That Actually Work in 2026</title><link>https://viqus.ai/blog/rag-chunking-strategies-2026</link><guid isPermaLink="true">https://viqus.ai/blog/rag-chunking-strategies-2026</guid><description>A practical guide to RAG chunking strategies for production AI systems. Covers fixed-size, semantic, recursive, and parent-child chunking with real-world performance comparisons.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/rag-chunking-og.webp" length="73012" type="image/webp" /><pubDate>Wed, 11 Feb 2026 09:00:00 GMT</pubDate></item><item><title>Open-Source vs. Closed LLMs: An Honest Comparison for Production Teams</title><link>https://viqus.ai/blog/open-source-vs-closed-llms</link><guid isPermaLink="true">https://viqus.ai/blog/open-source-vs-closed-llms</guid><description>An honest comparison of open-source and closed-source LLMs for production use. Covers performance, cost, control, compliance, and when each makes sense for your team.</description><dc:creator>Pablo Serrano</dc:creator><category>Strategy</category><enclosure url="https://viqus.ai/blog/img/open-vs-closed-llms-og.webp" length="70060" type="image/webp" /><pubDate>Tue, 10 Feb 2026 09:00:00 GMT</pubDate></item><item><title>Evaluating LLMs Beyond Benchmarks: What Leaderboards Won't Tell You</title><link>https://viqus.ai/blog/evaluating-llms-beyond-benchmarks</link><guid isPermaLink="true">https://viqus.ai/blog/evaluating-llms-beyond-benchmarks</guid><description>Learn how to evaluate LLMs for your specific production use case, beyond generic benchmarks. Covers custom evaluation design, LLM-as-judge, and practical evaluation workflows.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/eval-beyond-benchmarks-og.webp" length="92614" type="image/webp" /><pubDate>Sat, 07 Feb 2026 09:00:00 GMT</pubDate></item><item><title>AI-Powered Code Review: Building a Pipeline That Developers Actually Trust</title><link>https://viqus.ai/blog/ai-code-review-pipelines</link><guid isPermaLink="true">https://viqus.ai/blog/ai-code-review-pipelines</guid><description>Learn how to build an AI-powered code review pipeline that adds value without creating noise. Covers architecture, prompt design, false positive management, and developer trust.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/ai-code-review-og.webp" length="47328" type="image/webp" /><pubDate>Thu, 05 Feb 2026 09:00:00 GMT</pubDate></item><item><title>The LLM Observability Stack You Actually Need</title><link>https://viqus.ai/blog/llm-observability-monitoring-stack</link><guid isPermaLink="true">https://viqus.ai/blog/llm-observability-monitoring-stack</guid><description>Build an effective LLM observability and monitoring stack. Covers logging, tracing, quality metrics, cost tracking, and alerting strategies for production AI systems.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/llm-observability-og.webp" length="78734" type="image/webp" /><pubDate>Tue, 03 Feb 2026 09:00:00 GMT</pubDate></item><item><title>Build vs. Buy in AI: A Decision Framework for Engineering Leaders</title><link>https://viqus.ai/blog/when-to-build-vs-buy-ai</link><guid isPermaLink="true">https://viqus.ai/blog/when-to-build-vs-buy-ai</guid><description>A decision framework for engineering leaders choosing between building custom AI systems and buying SaaS solutions. Covers cost, control, speed, and strategic considerations.</description><dc:creator>Pablo Serrano</dc:creator><category>Strategy</category><enclosure url="https://viqus.ai/blog/img/build-vs-buy-og.webp" length="91502" type="image/webp" /><pubDate>Fri, 30 Jan 2026 09:00:00 GMT</pubDate></item><item><title>The Real Cost of Running AI in Production: A Complete Breakdown</title><link>https://viqus.ai/blog/real-cost-running-ai-production</link><guid isPermaLink="true">https://viqus.ai/blog/real-cost-running-ai-production</guid><description>A complete breakdown of production AI costs beyond API pricing. Covers inference, fine-tuning, evaluation, infrastructure, and hidden operational expenses that add up fast.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/real-cost-ai-og.webp" length="79944" type="image/webp" /><pubDate>Tue, 27 Jan 2026 09:00:00 GMT</pubDate></item><item><title>AI Governance for Startups: A Practical Guide That Won't Slow You Down</title><link>https://viqus.ai/blog/ai-governance-startups-practical-guide</link><guid isPermaLink="true">https://viqus.ai/blog/ai-governance-startups-practical-guide</guid><description>A practical AI governance framework for startups and fast-moving teams. Covers risk assessment, documentation, model evaluation, and compliance without killing velocity.</description><dc:creator>Pablo Serrano</dc:creator><category>Strategy</category><enclosure url="https://viqus.ai/blog/img/ai-governance-startups-og.webp" length="87538" type="image/webp" /><pubDate>Sun, 25 Jan 2026 09:00:00 GMT</pubDate></item><item><title>Small Language Models: When Less Parameters Means More Value</title><link>https://viqus.ai/blog/small-language-models-right-size</link><guid isPermaLink="true">https://viqus.ai/blog/small-language-models-right-size</guid><description>Explore why small language models (1B–13B parameters) are winning in production AI. Covers cost savings, latency advantages, deployment options, and when to choose small over large.</description><dc:creator>Pablo Serrano</dc:creator><category>AI Research</category><enclosure url="https://viqus.ai/blog/img/small-models-og.webp" length="12988" type="image/webp" /><pubDate>Thu, 22 Jan 2026 09:00:00 GMT</pubDate></item><item><title>MCP and Tool Use: The Protocol Layer That Makes Agents Useful</title><link>https://viqus.ai/blog/mcp-tool-use-patterns</link><guid isPermaLink="true">https://viqus.ai/blog/mcp-tool-use-patterns</guid><description>A deep dive into the Model Context Protocol (MCP) and modern tool use patterns for AI agents. Covers architecture, security considerations, and practical implementation guidance.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/mcp-tool-use-og.webp" length="62032" type="image/webp" /><pubDate>Mon, 19 Jan 2026 09:00:00 GMT</pubDate></item><item><title>Synthetic Data for Model Training: A Practitioner's Playbook</title><link>https://viqus.ai/blog/synthetic-data-training-guide</link><guid isPermaLink="true">https://viqus.ai/blog/synthetic-data-training-guide</guid><description>Learn how to generate high-quality synthetic training data for LLMs. Covers data design, quality filters, diversity strategies, and common failure modes to avoid.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/synthetic-data-og.webp" length="96616" type="image/webp" /><pubDate>Thu, 15 Jan 2026 09:00:00 GMT</pubDate></item><item><title>Fine-Tuning vs. Prompting in 2026: When Each Actually Makes Sense</title><link>https://viqus.ai/blog/fine-tuning-vs-prompting-2026-guide</link><guid isPermaLink="true">https://viqus.ai/blog/fine-tuning-vs-prompting-2026-guide</guid><description>A practical 2026 guide to choosing between fine-tuning and prompt engineering for LLM applications. Includes cost analysis, performance benchmarks, and a decision framework.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/fine-tuning-vs-prompting-og.webp" length="49692" type="image/webp" /><pubDate>Mon, 12 Jan 2026 09:00:00 GMT</pubDate></item><item><title>What We Learned Deploying AI Agents in Production for 12 Months</title><link>https://viqus.ai/blog/ai-agents-production-lessons-2026</link><guid isPermaLink="true">https://viqus.ai/blog/ai-agents-production-lessons-2026</guid><description>Practical lessons from 12 months of deploying AI agents in production. Discover the architecture patterns, failure modes, and reliability strategies that separate demos from real products.</description><dc:creator>Pablo Serrano</dc:creator><category>Engineering</category><enclosure url="https://viqus.ai/blog/img/ai-agents-production-og.webp" length="74952" type="image/webp" /><pubDate>Wed, 07 Jan 2026 09:00:00 GMT</pubDate></item><item><title>AI Search vs. Traditional Search: When Vectors Beat Keywords (and Vice Versa)</title><link>https://viqus.ai/blog/ai-search-vs-traditional-search</link><guid isPermaLink="true">https://viqus.ai/blog/ai-search-vs-traditional-search</guid><description>A practical comparison of AI-powered semantic search and traditional keyword search. Learn when vectors outperform keywords, when they don't, and how to build hybrid search systems.</description><dc:creator>Pablo Serrano</dc:creator><category>Deep Dive</category><enclosure url="https://viqus.ai/blog/img/ai-search-traditional-og.webp" length="90368" type="image/webp" /><pubDate>Mon, 05 Jan 2026 09:00:00 GMT</pubDate></item><item><title>Multimodal AI in Production: What's Ready, What's Not, and What's Next</title><link>https://viqus.ai/blog/multimodal-ai-production-readiness</link><guid isPermaLink="true">https://viqus.ai/blog/multimodal-ai-production-readiness</guid><description>A practical assessment of multimodal AI capabilities for production use in 2026. Covers vision, audio, document understanding, and which use cases are production-ready today.</description><dc:creator>Pablo Serrano</dc:creator><category>AI Research</category><enclosure url="https://viqus.ai/blog/img/multimodal-production-og.webp" length="96884" type="image/webp" /><pubDate>Sat, 03 Jan 2026 09:00:00 GMT</pubDate></item></channel></rss>