Insights, guides and practical perspectives on AI agents, connected systems and data foundations, for teams that run real operations.
How to integrate Zalo OA with your CRM and an AI agent: OA OpenAPI vs ZBS Template Message (formerly ZNS) vs Mini App, webhooks, token handling, architecture, user consent and a rollout checklist.
A technical guide to integrating the Zalo OA API in C#/.NET: OAuth v4 with PKCE, token lifecycle, typed HttpClient with retries, signed ASP.NET Core webhooks, idempotency and safe logging.
RAG (retrieval-augmented generation) lets a language model look up your own documents before answering and cite its sources. This guide covers how it works, Vietnamese-language pitfalls, permissions, evaluation and a rollout plan.
MCP is an open standard that lets AI applications connect to external data and tools through one shared protocol. This guide explains the architecture, security, how it compares with APIs and function calling, and when a business should adopt it.
An AI agent is a system that uses an AI model to decide for itself which steps and tools to use to complete a goal. This guide covers its components, autonomy levels, how it differs from chatbots, RPA and workflows, and when a business should use one.
Law 91/2025/QH15 and Decree 356/2025/ND-CP took effect on 1 January 2026, replacing Decree 13/2023. This guide maps each article to concrete work in AI and SaaS systems.
An article-by-article guide to Vietnam's Law on Artificial Intelligence (Law 134/2025/QH15): risk tiers, provider and deployer obligations, AI content labelling, prohibited acts, transition deadlines and a technical checklist.
A vendor-neutral guide to C# socket programming for game servers and realtime systems: TCP vs UDP vs WebSocket, binary serialization, framing, low-allocation techniques in .NET, tick rate, encryption, load testing and choosing a library.
Prompt injection is an attack that uses text to make a language model follow an attacker's instructions. This guide explains direct and indirect injection, why tool-using AI Agents raise the stakes, and how to defend in layers using OWASP and NIST guidance.
What preschool parents actually need from a communication app, how class chat groups compare with a dedicated app, and how to handle photos, children's data, notifications and grandparents.
A neutral checklist for choosing preschool management software: what it must do for teachers, parents, administrators and classroom TVs, children's data criteria, integration, rollout and questions to ask vendors.
A four-stage digital transformation roadmap for preschools in Vietnam: records, communication, operations, analytics. Grounded in Decision 131/QĐ-TTg, the 2025 Law on Digital Transformation and MOET's 2026–2027 guidance.
A preschool classroom TV is most useful as a display for the daily schedule, visual cues and announcements — not for children to sit and watch. How to use it, what WHO and AAP recommend, placement, privacy and device management.
Nalix is an open-source binary networking framework for .NET 10 aimed at game servers and realtime systems. This article explains its design, security model, self-published benchmarks and when not to use it.
A practical framework for measuring AI agent ROI: take a baseline before the pilot, compute cost per completed task, and track quality, time and risk with clear formulas.
AI API costs are billed per input and output token. This guide explains what drives the bill up and ten ways to control it: model routing, prompt caching, batch APIs, context trimming, output limits and per-team budgets.
When Vietnam's AI Law 134/2025/QH15 and Decree 142/2026/ND-CP require AI-generated content to be labelled, what a compliant label looks like, and a seven-step review workflow content teams can adopt now.
A practical guide to smart displays and IoT in business operations: common use cases, device–gateway–cloud architecture, device management and OTA updates, security baselines from NIST, ETSI and OWASP, offline behaviour and privacy.
Why AI gives wrong answers when data is scattered across CRM, ERP and accounting software, and how to integrate step by step: sources of truth, integration patterns, error handling and Vietnamese e-invoicing under Decree 254/2026.
A six-dimension scored checklist that tells you whether your data is good enough to feed into AI, what to fix first and what you can do this week.
A practical guide to the custom software development process: 9 phases and their deliverables, contract models, what clients should prepare, acceptance criteria, source-code handover and neutral red flags when choosing a vendor.
How to choose libraries and architecture for an AI backend in C# and .NET in 2026: Microsoft.Extensions.AI, Microsoft Agent Framework, the OpenAI and Anthropic SDKs, MCP, ONNX Runtime, plus streaming, resilience, OpenTelemetry, testing and cost.
A practical cloud cost optimization guide based on the FinOps Framework and the AWS, Google Cloud and Azure cost guidance: 12 concrete actions from tagging and budgets to rightsizing and a monthly review.
A practical guide to choosing an LLM for Vietnamese using verifiable criteria: language quality, domain, latency, cost drivers, data residency, licensing, tool use and context length, plus how to build your own evaluation set.
Photos, health records, attendance and camera footage of children are all personal data. A guide for preschool owners, principals and teachers on parental consent, photo sharing, cameras, software and retention.
Should you buy off-the-shelf SaaS, configure a low-code platform, commission custom software or combine them? This guide gives a criteria table, questions to ask vendors, notes on source-code ownership and an exit strategy.
The 3-2-1-1-0 rule, setting RPO/RTO, ransomware-resistant copies, who backs up SaaS data, and a disaster recovery runbook checklist for small and mid-sized businesses.
How to pick the right process, map the workflow, place human approval, run a measured pilot and only then scale — with a scoring table and a list of what not to automate.
Why many AI projects stall at the pilot stage, and a 10-point checklist for moving an AI application or AI Agent into real operation under control.
AI helps draft JDs, read CVs, schedule interviews and answer onboarding questions, but hiring decisions still need people. This guide covers the risks, Vietnamese law and a control table.
AI should take paperwork off adults so they have more time for children, not replace teachers in assessing or labelling children. A guide with Vietnam's 2026 legal framework and a school checklist.
AI handles invoice capture, reconciliation, categorisation and anomaly flags well; posting to the ledger, tax filing, payments and signing reports still need an authorised person's approval.
How to run AI content production: brief templates, a brand voice guide for AI, a prompt library, fact-checking, human editing, SEO checks, image rights, approvals and a RACI table.
An AI chatbot answers questions; an AI agent also takes actions in your systems. A guide to the differences, channels, human handover, personal data and metrics.
A vendor-neutral guide to choosing the first workflow, setting permissions, preparing data and taking AI agents from pilot to production under Vietnam's 2026 legal framework.
How to give AI Agents their own identity, scoped permissions, approval gates and audit logs, so you know what each agent may do, what it did, and who is accountable.
GEO and AEO describe optimizing for visibility in AI-generated answers. This guide separates what is confirmed from what is rumor, with a practical checklist.
A multi-agent system is several AI agents coordinating on one task. This guide compares six orchestration patterns, explains why you should start with one agent, and covers failure modes, cost and observability.
How to build an AI Agent operating model: role definitions, least-privilege permissions, a RACI table for agent–human handovers, failure behaviour, and the human-control requirement in Article 4 of Vietnam's AI Law 2025.
An AI marketing workflow from consented customer data through segmentation, campaign planning, personalisation and testing to measurement, with a step table, AI-content labelling under Vietnam's AI Law and data rules under Law 91/2025.
Human-in-the-Loop (HITL) is a design where AI proposes and a person approves before an action takes effect. This guide compares HITL, HOTL and full automation, explains when Vietnamese law requires human control and how to design an approval queue.
Edge AI means running AI models directly on devices or on-site servers, close to where data is created. This guide compares edge, cloud and hybrid setups and ends with a decision checklist.
A step-by-step guide to mapping a business process before adding AI: a checklist of trigger, step, owner, time, data and whether to automate, with an illustrative worked example.
Data governance is the set of roles, policies and processes that decides who is accountable for data, what it is used for, how long it is kept and who can access it. This guide shows how to start and links it to Vietnam's Law 91/2025.
A guide to multi-tenant SaaS architecture: choosing silo, pool or bridge, tenant isolation, data partitioning, noisy neighbours, per-tenant metering, ADRs and migration paths.
How to choose a cloud architecture for a business with a scorecard of five constraints: data residency and law, latency and users, team skills, cost drivers, and compliance and availability.
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