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CIAO Prompt Engineering – Accelerate with AI


AIDO HUB - Your Trusted AI Companion


1. What We Build

Custom GPT Assistants

Domain-tuned models that deliver stable, repeatable answers across long, multi-turn interactions. Guardrails reduce hallucinations and keep outputs on-brand.


Collection GPTs (Multi-Agent Skills)

Combine multiple specialized GPTs (research, drafting, compliance, analytics) into one coordinated “team” that solves end-to-end tasks.


AI Chatbots (24/7 Support & Advisory)

Omnichannel bots for web/app that deflect tickets, qualify leads, and provide guided self-service-cutting workload and response times by up to 40%.


Workflow Automation

Trigger AI steps from forms, CRMs, email, or help desks. Generate docs, route approvals, and sync results to your tools automatically.


Enablement & Training

Practical courses, e-books, and video content to help your team adopt AI safely and effectively.


2. Why AIDO HUB?

Consistency over time - Memory + retrieval keep answers aligned across sessions.


Reduced risk - Content filters, grounding, and audit logs minimize “AI drift.”


Faster time-to-value - Blueprints for common SME workflows (support, sales, ops).


Own your data - BYO knowledge base with role-based access and version control.


Measurable ROI - Track deflection, AHT, CSAT, and conversion uplift from day one.

Chatbot AI 24/7

Launch a customer‑care chatbot in 7 days, cut workload by 40 %

Benifit with AI

Convenient management

Enterprise security

 Optimize operating costs

Technology Newspaper

Does Your Company Really Need a Chatbot?

Chatbot automated conversation systems have become increasingly sophisticated. Should you design and deploy one that can interact with your customers? If you’re an executive making that decision right now, you may feel caught between A.I.

Unleashing the Power of AI in Business

In today's dynamic business environment, companies are constantly seeking innovative ways to remain competitive and deliver value to their customers. One of the most transformative tools for achieving these goals is artificial intelligence.

If You're Not Using Chatbots, You're Letting Customers Down. Here's Why.

As a growing number of consumers shift to online shopping, businesses are having to invest in customer service technology that can handle large volumes of inquiries efficiently.

Other services

  • eBook

    Deliver engaging knowledge in beautifully designed digital ebooks, crafted to inspire, educate, and empower your readers on any device, anytime.


  • Comic

    Bring storytelling to life with vibrant, AI-enhanced comics that entertain, inform, and captivate audiences of all ages



  • AI Course

    Unlock new skills and insights through practical, interactive AI-driven courses—expertly structured to accelerate learning and drive real-world success.


  • Video AI

    Create dynamic, personalized videos powered by advanced AI, designed to connect deeply, captivate viewers, and elevate your brand message

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  • Mini-Game

    Enhance engagement and interaction with creative AI-powered mini-games that make learning, marketing, and customer experience uniquely enjoyable.

  • Web/App

    We specialize in designing & developing WordPress websites for SMEs, online shops and large enterprises: landing pages, e-commerce, blogs, internal portals.

AIDO News

AI in Customer Service: Measurable ROI, Faster Onboarding
Many executives are asking a practical question: Does generative AI deliver improvements that are truly measurable in customer service, and where should we begin for the clearest ROI? Based on the CLAIMS_FINAL set, the answer leans toward “yes,” wit...
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Light Touch, Big Uptake Evidence-Based HITL Design
Across many operational workflows, users often lose confidence in a model after witnessing a visible error, even when the model is generally more accurate than humans. A 2018 study in Management Science surfaces a simple, effective intervention: all...
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AI at Work: +14% Productivity, Bigger Gains for Newcomers
Over the past two years, field evidence and randomized experiments have moved the debate from “replacement versus complement” to actionable guidance for managers. The clearest picture is an uplift in productivity within process-driven service enviro...
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AI Act & AI Literacy
The EU AI Act entered into force on 1 August 2024 and begins phased application from 2 February 2025, establishing a clear legal baseline for AI activities connected to the EU market. Within that framework, AI literacy in Article 4 is the operationa...
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AI, jobs, and productivity: evidence for safer deployment
Public debate around AI often swings between anxiety about job loss and optimism about a productivity boom. Together, they outline the scale of job exposure at the macro level, real-world productivity gains where AI is already embedded, and the limi...
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The Perception Gap on AI: What the Public and Experts Really Think
Public debates about artificial intelligence often collide with a stubborn “perception gap”: the general public remains cautious while AI experts are notably more optimistic. This article lays out a balanced view across emotions, personal benefit, l...
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AI in 2025: the race for capability, energy, and compliance
2025 is a hinge year for artificial intelligence: the field has moved from promising pilots to a full-spectrum race across capability, infrastructure, and governance. On the technology front, frontier models are pushing multimodal reasoning while re...
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AI 2025: Converging performance, surging capital - deploy to reduce uncertainty
The 2025 AI landscape mixes accelerating technical progress with rising social sensitivity. Evidence shows the performance gap between open- and closed-weight models is narrowing, while benchmark scores jump markedly and investment pivots from exper...
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Why We Fear AI - and How to Untie the Knot
Fear of being “replaced” by AI rarely begins with chips, models, or benchmarks, but with human cognition. When we meet the unknown and uncertainty, we naturally overrate risk and choose avoidance to regain control. Psychology, behavioral economics, ...
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Meta restructures AI: four groups under MSL, Wang to helm TBD Labs
Meta is entering a new organizational cycle for AI as Meta Superintelligence Labs (MSL) is restructured into four clearly defined groups. This change, corroborated by a chain of sources during the week of Aug 15-19, reflects a push to tighten execut...
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Grok’s internal “prompts” exposed: operational lessons & AI risk governance for enterprises
Almost overnight, Grok’s (xAI) website exposed its system prompts-the “foundational instructions” that determine how AI personas behave-from “Crazy Conspiracist” to “Unhinged Comedian.” TechCrunch confirmed the incident, first reported by 404 Media;...
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“Maternal Instinct” for AI: A Pragmatic Path After the Warning at AI4
 Amid the wave of AI safety discussions in mid-2025, Geoffrey Hinton sounded another alarm: the systems he and the community have built could soon outsmart humans and seek ways to disable control mechanisms. At AI4 in Las Vegas, he proposed a shift ...
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Imagen 4 enters GA in the Gemini API: Operational implications for enterprises and training teams
Google has moved the entire Imagen 4 image-generation family to General Availability (GA) in the Gemini API and Google AI Studio, and simultaneously launched the Imagen 4 Fast variant focused on speed. The official post on the Google Developers Blog...
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Biodegradable Packaging Film in 17 Days from Grape Waste: A New Opportunity for Green Production Leaders
 Pressure to reduce single-use plastics is mounting. A new study from South Dakota State University (SDSU) shows that waste from grape vines can be transformed into a transparent, durable, and fast-degrading packaging film. This cellulose-based...
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Musk, OpenAI, and Apple: a new risk map for tech leaders
As consumer AI surges, a California ruling and Elon Musk’s threat to sue Apple have escalated the platform race. This article provides a practical and critical update for executives, examining the legal showdown between Musk and OpenAI, the App Stor...
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AI and Supercomputing: Innovating Green Materials - Accelerating Materials Science Discovery
In the digital age, artificial intelligence (AI) and supercomputers are revolutionizing materials research and development (R&D), particularly in creating sustainable green materials. This combination not only speeds up discovery but also reshap...
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International Collaboration and AI: Unlocking the Potential of Next-Generation Perovskite Solar Cells
Amid global efforts to tackle the energy crisis and reduce carbon emissions, solar power has emerged as a cornerstone for a sustainable future. In particular, perovskite solar cells-flexible, sustainable alternatives to traditional silicon-are revol...
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AI: A Breakthrough Solution for Flood Forecasting and Response in Vietnam
Vietnam, with its extensive coastline and complex terrain, frequently faces natural disasters, particularly flooding. Amid increasingly complex climate change, the application of modern technology, notably Artificial Intelligence (AI), is ushering i...
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The Future of Climate Modeling: Optimizing Forecasts with Physics-Informed Machine Learning (PIML) for Senior Leaders
As climate change becomes increasingly evident and complex, the demand for accurate, high-resolution weather and climate forecasts at regional scales has never been more urgent. Traditional Earth System Models (ESMs), despite decades of advancement,...
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Prithvi WxC: A Breakthrough Foundation AI Model from IBM and NASA for Global Weather Forecasting
In the context of global climate science, searching for more efficient and accessible solutions, a significant advancement has been announced. IBM, in collaboration with NASA and with contributions from the Oak Ridge National Laboratory, has launche...
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Spherical DYffusion: A Breakthrough in Global Climate Modeling
In the context of traditional long-term climate simulations that remain costly and take weeks to run on supercomputers, a transformative solution has emerged. Introduced at NeurIPS 2024 (December 9-15, Vancouver, Canada), the AI model named Spherica...
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Computational Science & the Environment: Climate AI & Clean Materials
Date: 08/11/2025 · Reading time: ~7 minutes Context & the need for clean technology According to the WEF 2024 Global Risks outlook (two-year horizon 2024–2026), “extreme weather” ranks #1. In WEF 2025 (horizon 2025–2027), “extreme weather” moved...
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Gen Z Amid the 2025 Tech Layoffs Wave: AI & Unemployment
In the first half of 2025, the global tech industry recorded 80,845 positions cut across 176 companies, marking the largest tech-layoff wave, according to Reuters. Gen Z, the youngest cohort in the workforce-faces a double squeeze as AI increasingly...
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AI Safety Report 2025 – Yoshua Bengio’s Recommendations and Policy Guidance for Businesses
The International AI Safety Report 2025 (UK Government) combined with insights from Yoshua Bengio outlines a multi-layered framework to mitigate AI risks. Below is a faithful translation of each section, preserving the original structure and detail....
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AI Writers and Content Ethics in Vietnam: Copyright Issues, Applications & Internal Policies
The explosion of AI Writers (such as GPT, Claude, Bard…) has unleashed the power to generate content quickly, but it also poses serious challenges around intellectual property and ethical responsibility. This article analyzes three aspects - copyrig...
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