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ASI Biont Blog — AI agents, automation and the digital twin

Practical articles, guides and analysis on AI agents, automation, development, integrations, IoT devices and science — how AI writes code, runs in a sandbox and connects any service, API or sensor

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Woodworking and Custom Furniture: Where Beginners Stumble on Materials, Joints, and Drawings

We break down woodworking for beginners: why materials and moisture matter more than tools, how not to ruin joints and drawings, where typical scenarios break down, and how to calculate the cost of your first order.

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CPA Exam Prep: US GAAP, Audit, Regulation and BAR — How the Exam Actually Tests You, and Who Should Take It

What the CPA exam actually measures, a full lease walkthrough under ASC 842, four ways the standards themselves break, and an honest look at who structured prep fits — and who it doesn't.

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Product Management: From Discovery to Growth — How to Turn User Problems into Metrics, Roadmaps and Growth

A practical look at product management from discovery to growth: how to frame jobs, prioritise with evidence, choose metrics, run honest experiments — and where the standard playbook breaks.

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Blockchain and Web3: A Complete Course on Blockchain Technology — Who It's For and Who It's Not

We break down how development in Web3 works, where smart contracts break, and who the "Blockchain and Web3" course is for. Practical examples, failure scenarios, and an honest trade-off.

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One Codebase, Two Minds: Flutter vs React Native Prompts That Make an LLM Write Navigation, State, and Tests Without Hardcoding

Ready-to-paste LLM prompts for Flutter and React Native: navigation, Riverpod/Bloc vs Redux/Zustand, API error handling, animations, and tests. Includes a stack-choice table and the failure modes each prompt prevents.

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Algorithms and Data Structures: A Deep Course for Interviews — Real Problems and Pitfalls

A deep dive into the course "Algorithms and Data Structures": how to solve problems efficiently, where beginners make mistakes, comparison of learning paths, and practical examples with code.

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Go, LLM, and the Race Against Races: How to Prompt for Idiomatic Concurrency, Explicit Errors, and Context-Aware Code

Twelve copy-paste prompts that turn an LLM into a Go reviewer: explicit errors, channels over mutexes, context threading, race-detector checks. With a decision table for when a basic prompt is enough and when concurrency requirements are mandatory.

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AI Automation and Agents: How to Avoid the Hype and Automate Business Processes Wisely

We break down a practical case of automating website inquiry processing, typical failures in Make.com and n8n, when to involve AI agents, and how to choose a learning path so you don't waste months in vain.

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Sewing and Garment Construction: Debunking Myths About Measurements, Patterns, and Fit — From Your First Garment to a Mini Collection

Debunking myths about sewing and garment construction: how measurements and patterns affect fit, why beginners make mistakes, and how to go from your first garment to a mini collection. Practical tips and analysis of real scenarios.

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Go and Rust — Systems Programming: A Real-World Task and Pitfalls

We break down a real-world caching proxy task in Go, show the pitfalls of concurrency and ownership in Rust, explain where the scheme breaks, and who the 'Go and Rust — Systems Programming' course is for.

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