Blog
Insights, technical guides, and product thinking from the Tanok Tech team.
AI Safety and Alignment: What Companies Should Consider
Learn key AI safety concepts and alignment strategies for companies deploying AI, including governance, testing, and practical code examples.
Read more →Embeddings and multimodal models: the future of search
Discover how embeddings and multimodal models are revolutionizing search, enabling semantic understanding and cross-modal retrieval for more intuitive and accurate results.
Read more →Companies Neglect Human Factor: Only 7% of AI Investment Goes to People
Despite massive AI spending, companies allocate only 7% to human factors like training and culture. This imbalance threatens ROI and adoption. Learn how to fix it.
Read more →MCP (Model Context Protocol): The New Standard for AI Tools
Discover how the Model Context Protocol (MCP) standardizes AI-tool communication, enabling seamless integration, reduced development costs, and enhanced context retention for next-gen applications.
Read more →Multi-Agent Systems with LangGraph and CrewAI: Practical Patterns for Coordinated AI Workflows
Explore practical patterns for building multi-agent systems using LangGraph and CrewAI, including sequential chains, hierarchical teams, and dynamic task decomposition.
Read more →The Rise of Small Language Models and Why They Matter
Small language models (SLMs) are transforming AI with efficiency, privacy, and cost savings. Explore why they matter for developers and businesses.
Read more →Serverless in Production: Lessons Learned After Two Years
After two years running serverless in production, we share real-world insights on performance, cost, cold starts, and tooling that every team should know.
Read more →Advanced Prompt Engineering: Chain-of-Thought, ReAct, and Tree-of-Thoughts
Explore advanced prompt engineering techniques—Chain-of-Thought, ReAct, and Tree-of-Thoughts—to enhance LLM reasoning and problem-solving capabilities.
Read more →Function Calling and Tool Use: How AIs Execute Real Actions
Discover how modern AI models go beyond chat to execute real-world actions via function calling and tool use, with practical code examples and best practices.
Read more →