Blog
Insights, technical guides, and product thinking from the Tanok Tech team.
How to Build an Enterprise Chatbot That Doesn't Hallucinate
Learn how to ground responses, implement RAG, and run rigorous evaluations to build an enterprise chatbot that delivers accurate, trustworthy answers.
Read more →Did You Know the ENIAC Was Programmed by Physically Rewiring It?
Discover how the ENIAC, the first general-purpose computer, was programmed by physically rewiring its components like a giant telephone switchboard, and what that means for modern software development.
Read more →Generative AI for Code: Copilot, Cursor, and New Alternatives in 2025
Explore the landscape of AI code assistants: GitHub Copilot, Cursor IDE, and emerging alternatives that are reshaping software development.
Read more →Designing Fault-Tolerant Distributed Systems: Principles and Patterns
Learn key principles and patterns like redundancy, retries, and circuit breakers to build distributed systems that survive failures gracefully.
Read more →LLM Inference Costs: Proven Strategies for Production
Large language models are expensive to run in production. Learn practical strategies like quantization, batching, and caching to reduce inference costs without sacrificing quality.
Read more →Agentic AI: The New Frontier in Intelligent Automation
Discover how Agentic AI is revolutionizing automation by enabling autonomous decision-making and adaptive workflows. Learn practical implementation strategies.
Read more →84% of Developers Use AI, but Productivity Grows Only 10%: Unpacking the Paradox
Despite 84% of developers using AI tools, productivity gains are only 10%. Explore why adoption doesn't equal efficiency and how to bridge the gap.
Read more →How Vector Search Works and Why Your AI Hallucinates Without It
Vector search converts data into mathematical representations for semantic matching. Without it, AI models lack grounding in factual data, leading to hallucinations.
Read more →Multi-Agent Systems: The New Frontier in AI Development Tools
Explore how multi-agent systems are revolutionizing AI development by enabling collaboration among specialized agents for complex task solving.
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