AI-Powered Automation & Content Creation for Businesses
Helping businesses leverage AI, automation, and integrations to streamline workflows and supercharge content creation.
The future of business is AI-driven. I specialize in creating AI-powered solutions that automate processes, integrate seamlessly with your existing tools, and generate content effortlessly. Whether it's WhatsApp and Telegram automation, AI voice agents, or AI-generated videos and images, I help businesses stay ahead of the curve. Let's explore how AI can work for you.

About Me
With over 25 years of experience in IT consulting and over 15 years in photography and videography, I've always been at the forefront of technology and creativity. My journey from visual storytelling to AI innovation has given me a unique perspective on how automation, AI integrations, and content generation can revolutionize businesses.
I now focus on:
- •Developing AI-powered mobile apps
- •Automating workflows with WhatsApp, Telegram, and CRM integrations
- •Creating AI-generated content for businesses, including video and image automation
- •Leveraging local LLMs for secure and powerful AI solutions
Businesses today need to embrace AI to stay competitive. Let's connect and explore how AI can transform your operations.
Services
AI-Powered Mobile Apps
Custom-built AI applications that streamline operations, enhance efficiency, and provide innovative solutions tailored to your business needs.
Automations & Integrations
Seamlessly integrate AI into your business operations with WhatsApp, Telegram, email marketing, and CRM automation.
Voice AI Agents
Enhance customer interactions with AI-driven voice agents, providing automated responses and intelligent customer support.
Local LLM Solutions
AI chatbots and tools that run locally, ensuring privacy, security, and speed for businesses needing on-premise AI.
AI-Powered Content Generation
Revolutionize social media and marketing with AI-generated videos, images, and automated content creation.
Past Work Experience
While I've built a strong foundation in photography and videography over the past 15 years, I've now refocused my expertise on AI solutions and mobile development to help businesses innovate and grow.
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Because it means the site loads lightning-fast, works flawlessly on any device, and delivers a smooth experience for every visitor. In other words, no waiting, no glitches—just instant access to what matters. That’s the power of combining smart design with AI precision.

Latest AI News

How Workspace Studio and Gemini 3 Redefine Productivity Inside Google Workspace
Dec 12, 2025
Google has been weaving AI into its products for years, but what launched recently feels fundamentally different. Workspace Studio is now officially available and it changes the way people work inside Gmail, Docs, Sheets, Drive and Chat. Instead of hiring specialists or writing complex scripts, you simply describe the assistant you want and Google creates it for you. The result is a new category of workplace productivity where AI becomes a true colleague rather than a tool you occasionally open in a separate tab. What makes this moment important is not just the simplicity of creating assistants. It is the fact that they live directly inside the systems people already use every day. With Gemini 3 at the core, these assistants understand conversations, documents, emails, schedules, files, images and organisational context in a way that earlier models could not. For the first time, Google Workspace behaves like an active participant in your workflow instead of a passive environment. <br><br> <ul> <li><a href="#overview">What Workspace Studio actually is</a></li> <li><a href="#how-it-works">How natural-language assistant creation works</a></li> <li><a href="#capabilities">What these assistants can practically do</a></li> <li><a href="#examples">Real examples from day-to-day work</a></li> <li><a href="#gemini">Why Gemini 3 changes everything</a></li> <li><a href="#business">Impact for teams and organisations</a></li> <li><a href="#future">The future of work when AI becomes a colleague</a></li> </ul> <h2 id="overview">What Workspace Studio actually is</h2> <p>Workspace Studio is Google’s new environment for creating AI assistants tailored to your needs. The key idea is simple: you describe in normal language what you want the assistant to do and Workspace Studio builds the logic behind it. There is no configuration panel full of technical options. No API documentation to study. No scripts to maintain. The assistants you create live inside the Workspace apps you already use. They can read and analyse emails, follow conversations in Google Chat, browse folder structures in Drive, draft documents in Docs and create structured data in Sheets. Because everything runs inside the Workspace environment, the assistants have first-class integration with your files and communication channels.</p> <h2 id="how-it-works">How natural-language assistant creation works</h2> <p>You start with a simple instruction. For example: “Create an assistant that reviews my inbox every morning, summarises the important items and highlights anything related to clients.” Workspace Studio converts that into a working agent. You can refine it by adding context like tone, priorities, exceptions or scheduling rules. The assistant can learn from your style: how you normally reply, what you consider urgent, which projects matter, how you structure notes and which people you frequently collaborate with.</p> <p>Instead of building logic manually, you iterate through natural conversation. You adjust behaviour by writing things like: “Be more concise”, “Notify me only when something is urgent”, or “Group these updates by project instead of by sender.” This makes assistant creation accessible to anyone, not just technical teams.</p> <h2 id="#capabilities">What these assistants can practically do</h2> <p>The current range of capabilities is wide, and because everything runs on Gemini 3, the assistants understand both language and visual content with much more nuance than earlier Workspace AI features. They can monitor, analyse, rewrite, organise, prioritise and execute.</p> <ul> <li><strong>Email intelligence</strong>: Summarise long threads, extract commitments, identify deadlines, suggest responses, rewrite messages in your tone and flag inconsistencies.</li> <li><strong>Document analysis</strong>: Turn messy notes into clean documents, extract key facts, create summaries, detect missing sections and convert text into presentations.</li> <li><strong>Automation of repetitive tasks</strong>: Schedule checks, move files, rename documents, create structured spreadsheets, update trackers and notify team members.</li> <li><strong>Contextual reasoning</strong>: Understand priorities based on your past decisions, recognise stakeholders, detect sensitive content and adapt wording accordingly.</li> <li><strong>Cross-app coordination</strong>: An email summary can become a document, which can become an action list in Sheets, which can then trigger reminders in Chat.</li> </ul> <h2 id="examples">Real examples from day-to-day work</h2> <p>The real power of Workspace Studio becomes clear when looking at concrete workflows that used to take time or manual effort.</p> <p><strong>1. Daily email triage</strong></p> <p>You create an assistant that checks your inbox at 9:00 every morning. It groups messages by topic, extracts tasks, highlights deadlines and drafts replies in your tone. Instead of reading twenty mails, you read one digest.</p> <p><strong>2. Meeting preparation</strong></p> <p>You ask: “Review everything related to the Q4 campaign and prepare a briefing for my meeting at 14:00.” The assistant searches Docs, Sheets, Chat threads and old emails. It produces a clean two-page summary with open issues, risks, decisions and next steps.</p> <p><strong>3. Project follow-up</strong></p> <p>You instruct the assistant to monitor a shared Drive folder for new uploads from your design team. Whenever a new asset appears, it checks the file content, compares it to the brief and notifies you only if something important changed or a deadline is at risk.</p> <p><strong>4. Sales pipeline overview</strong></p> <p>The assistant reads CRM updates in Sheets, extracts client signals from emails and creates a weekly status overview in Docs. It formats charts, highlights trends and suggests which leads need attention based on behaviour and sentiment.</p> <p><strong>5. Client communication support</strong></p> <p>You upload a complex PDF contract. Gemini interprets key clauses, identifies risks, translates legal sections, highlights unusual terms and prepares a plain-language summary you can forward internally.</p> <p><strong>6. Creative and content workflows</strong></p> <p>You give the assistant a folder with scripts, screenshots and video notes. It organises everything into a storyboard, drafts captions, prepares titles and suggests content angles based on your style. No separate tools needed.</p> <h2 id="gemini">Why Gemini 3 changes everything</h2> <p>Workspace Studio is built on Gemini 3, Google’s most advanced model to date. The experience is different because Gemini 3 understands nuance, visuals and multi-step reasoning in a way earlier models could not. Gemini 3 is capable of reading images, PDFs, scanned documents, restaurant menus, spreadsheets and even messy screenshots. It understands relationships between items and reasons across multiple files. It also follows instructions more reliably and is more resistant to hallucinations.</p> <p>This means assistants behave more like a reliable colleague. They process context accurately, avoid making things up and admit when information is missing. The result is an assistant that you can trust with real work instead of just simple tasks.</p> <h2 id="business">Impact for teams and organisations</h2> <p>For businesses the implications are substantial. Workspace Studio reduces the amount of repetitive manual work and increases both speed and clarity in communication. Teams get consistent summaries, structured documentation and an always-available source of organisational memory.</p> <ul> <li><strong>Better decision making</strong>: Leaders receive clean, timely summaries instead of fragmented information.</li> <li><strong>Reduced cognitive load</strong>: Employees spend less time switching between apps and more time focusing on meaningful work.</li> <li><strong>Faster onboarding</strong>: New hires can ask assistants to explain how processes work or where important documents are located.</li> <li><strong>Clearer communication</strong>: Assistants can rewrite drafts, adjust tone and prepare templates.</li> <li><strong>Process consistency</strong>: With AI monitoring workflows, key steps are less likely to be forgotten.</li> </ul> <p>Companies that adopt this early gain a significant advantage. Instead of every employee reinventing their own system, assistants create a shared layer of intelligence across the organisation.</p> <h2 id="future">The future of work when AI becomes a colleague</h2> <p>Workspace Studio shows what the next phase of AI will look like. We move from standalone tools to integrated assistants that know our files, conversations, tasks and priorities. These assistants do not replace people; they reduce friction and give individuals more leverage. A junior employee gains senior-level clarity. A manager receives well-structured updates. A small business suddenly operates with the efficiency of a larger team.</p> <p>The underlying shift is simple but profound: AI is no longer something you consult. It becomes something that quietly works alongside you, monitoring, organising, preparing, rewriting and structuring information before you even ask. When AI becomes this integrated, productivity stops being about working harder. It becomes about working with a partner who removes the overhead and lets you focus on the decisions that matter.</p>

Why n8n 2.0 Is a Game-Changer for Workflow Builders in 2026
Dec 8, 2025
Automation tools evolve fast but every now and then a new version arrives that genuinely changes what’s possible. That’s exactly what n8n v2 represents. This release isn’t a cosmetic upgrade. It’s a re-architecture of how n8n works — visually, technically, and operationally — designed for creators, automation builders, and enterprise teams who want reliability at scale. Below you’ll find a clear breakdown of what’s new, why it matters, and how to prepare your workflows for the future. <br><br> <ul> <li><a href="#what">What n8n v2 is and why it matters</a></li> <li><a href="#ui">UI refresh: new visuals, animations and navigation</a></li> <li><a href="#core">Performance, security and backend enhancements</a></li> <li><a href="#breaking">Breaking changes you need to know</a></li> <li><a href="#productivity">Productivity updates that speed up workflow building</a></li> <li><a href="#real-world">Real-world use cases unlocked by v2</a></li> <li><a href="#migration">How to migrate safely from v1 to v2</a></li> <li><a href="#future">Why n8n v2 marks a new era in automation</a></li> </ul> <h2 id="what">What n8n v2 is and why it matters</h2> <p>n8n v2 is a major milestone. Instead of small incremental updates, the team rebuilt large parts of the platform with a focus on stability, security, scalability and better UX. If you build automations for content creation, business operations, AI workflows, or data pipelines, this version finally makes n8n feel enterprise-grade while still being approachable for hobbyists and freelancers.</p> <p>The most important takeaway: workflows run more reliably, the editor is cleaner and faster, and the platform is now designed for long-term growth.</p> <h2 id="ui">UI refresh: new visuals, animations and navigation</h2> <p>The first thing users notice is the dramatically improved interface. Everything feels more modern, responsive and intentional.</p> <ul> <li><strong>New node animations</strong> Nodes now animate during execution, making it easier to understand flow order — with clear color cues for “processing” and “executed”.</li> <li><strong>Minimalistic node design</strong> The old bulky 3D-style blocks are gone. v2 uses flatter, cleaner design with better spacing and more readable text.</li> <li><strong>Smarter connector lines</strong> When hovering, lines highlight with a crisp outline, which helps when dealing with large or complex workflows.</li> <li><strong>Redesigned sidebar</strong> The sidebar now expands and collapses smoothly, with easier access to settings and workflow management — no more digging through profile menus.</li> <li><strong>Publish / Unpublish terminology</strong> Instead of “Active / Inactive”, workflows now use “Publish / Unpublish”, making it much clearer what is live.</li> <li><strong>Near-instant saving</strong> Editing feels far smoother because saves happen almost immediately. You can experiment freely without worrying about losing progress.</li> </ul> <h2 id="core">Performance, security and backend enhancements</h2> <p>Behind the scenes, n8n’s engine received major upgrades. These power the platform’s reliability and prepare it for more complex workflows and heavier workloads.</p> <ul> <li><strong>Improved job execution stability</strong> Workflows run with fewer failures, better concurrency handling and more predictable performance.</li> <li><strong>Task runners for Code & Python nodes</strong> Executing code now happens in isolated, secure environments. This prevents workflow crashes and allows much safer automation pipelines.</li> <li><strong>Better workflow isolation</strong> v2 ensures that separate workflows don’t interfere with each other, which is important when running many jobs or multi-user setups.</li> <li><strong>Refined JSON structure</strong> Although the underlying structure remains compatible with v1, v2 handles it more efficiently, making large flows easier to load and maintain.</li> <li><strong>Higher scalability potential</strong> The updated architecture supports more workflows running simultaneously with lower overhead — ideal for business automation.</li> </ul> <h2 id="breaking">Breaking changes you need to know</h2> <p>With such a major update, some changes require attention when migrating:</p> <ul> <li><strong>Sub-workflow data return</strong> Sub-workflows now correctly return output to the parent workflow — a massive improvement. BUT: the sub-workflow must be <strong>published</strong>. Unpublished sub-workflows cannot be called.</li> <li><strong>Code and Python nodes require task runners</strong> These nodes no longer run inside the main process. If you self-host, you must configure task runners.</li> <li><strong>Deprecated or disabled nodes</strong> Nodes that rely on older execution methods or unsafe system access may be removed or disabled by default.</li> <li><strong>Environment-variable access restricted</strong> Some older patterns of reading env variables inside code nodes need updating for v2.</li> </ul> <p>These changes ultimately make the platform safer and more stable, but they do require testing before upgrading.</p> <h2 id="productivity">Productivity updates that speed up workflow building</h2> <p>v2 also introduces “quiet” features — small improvements that have a huge impact on daily work:</p> <ul> <li><strong>Focus Panel</strong> Open a node’s parameters (e.g., an AI system prompt) in a side panel while still seeing the whole workflow.</li> <li><strong>Arrow-based node navigation</strong> Instead of closing a node window and clicking another node, you can jump between nodes with navigation arrows.</li> <li><strong>Cleaner, faster editor</strong> The canvas feels lighter, scrolling is smoother, and workflow complexity doesn’t bog down the UI as easily.</li> <li><strong>Improved ergonomics for large workflows</strong> v2 is designed for power users who manage dozens or hundreds of nodes — these small changes add up to major time savings.</li> </ul> <h2 id="real-world">Real-world use cases unlocked by v2</h2> <p>To understand how much v2 matters, let’s look at scenarios where it transforms automation in practice:</p> <ul> <li><strong>AI-powered content pipelines</strong> Build workflows that ingest draft content, enrich it with LLMs, generate visuals, publish to CMS platforms, and schedule across social channels. The new stable execution flow ensures these multi-step, multi-service chains run reliably.</li> <li><strong>CRM automation with human-in-the-loop approval</strong> A lead enters your system → enrichment workflow runs → sub-workflow asks a manager for approval in Slack → approval returns to the parent workflow with all metadata intact.</li> <li><strong>Finance workflows</strong> Automate invoice collection, PDF parsing, categorisation, storage, reminders, error handling and reporting — all without needing to manually monitor pipeline failures.</li> <li><strong>Customer support enhancements</strong> Use LLM-based classification, sentiment analysis, automatic triage, contextual replies and escalation steps — made reliable with v2’s backend upgrades.</li> <li><strong>Operation dashboards</strong> Pull data from APIs, databases, support tickets and analytics, generate real-time summaries, and send updates to teams or dashboards.</li> <li><strong>Personal automations for power users</strong> Repetitive tasks like file renaming, spreadsheet cleanup, media processing, or cross-posting become effortless inside the improved editor.</li> </ul> <h2 id="migration">How to migrate safely from v1 to v2</h2> <p>Migrating requires deliberate preparation, but it’s manageable with the right steps:</p> <ul> <li><strong>Run a migration scan</strong> Before upgrading, run a compatibility scan (available in settings) to detect workflows that need adjustment.</li> <li><strong>Test in a staging instance</strong> Set up v2 separately, import workflows, and validate behavior before switching your production environment.</li> <li><strong>Prepare task runners</strong> If you use Code or Python nodes, configure external runners before upgrading.</li> <li><strong>Publish sub-workflows</strong> Any sub-workflow called by another flow must be published — otherwise it won’t run.</li> <li><strong>Check deprecated patterns</strong> Update older workflow logic that relies on now-restricted behavior.</li> </ul> <p>The migration effort is well-worth the benefits: smoother workflows, stronger security, better scalability and a more future-ready automation engine.</p> <h2 id="future">Why n8n v2 marks a new era in automation</h2> <p>With this release, n8n steps into a new category. It’s no longer simply a competitor to Zapier or Make — it becomes an automation platform capable of running complex business logic, AI-driven workflows, human-in-the-loop processes, and scalable enterprise pipelines.</p> <p>Key implications:</p> <ul> <li><strong>No-code platforms are becoming automation operating systems</strong></li> <li><strong>LLM-powered workflows need stability — v2 provides it</strong></li> <li><strong>Teams can automate more without needing custom codebases</strong></li> <li><strong>The editor is becoming mature enough for long-term adoption</strong></li> </ul> <p>If you work with automation in any form — content, AI agents, operations, sales, data engineering, personal productivity — n8n v2 is absolutely worth exploring. It brings the reliability professionals need and the accessibility beginners want.</p>
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