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.

Photography

Photography Collection

A selection of high-quality commercial and artistic photography work.

Videography

Video Production

Professional video content for businesses and creative projects.

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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

Gemini Personal Intelligence: How Google Is Turning AI Into Your Digital Memory

Jan 20, 2026

Gemini just became personal. Truly personal. Something fundamental just shifted in how we interact with AI. Not louder, not flashier, but deeper. With Gemini Personal Intelligence, Google is moving AI from a helpful tool to something closer to an external memory. Not a system you need to explain things to, but one that can understand context that already exists in your digital life. If you allow it, Gemini can connect to your Gmail, Google Calendar, Google Photos, YouTube, Search and Drive. That means you no longer start every interaction from zero. You ask a question, and the answer is already somewhere inside your own data. This is not a feature update. It’s a behavioural shift in how work, memory and decision-making will feel on a daily basis. <ul> <li><a href="#what">What Gemini Personal Intelligence actually is</a></li> <li><a href="#how">How it works in practice</a></li> <li><a href="#examples">Concrete everyday examples</a></li> <li><a href="#work">What this changes for work and productivity</a></li> <li><a href="#privacy">Privacy, control and the real trade-offs</a></li> <li><a href="#availability">Availability and rollout status</a></li> <li><a href="#why">Why this matters more than people think</a></li> </ul> <h2 id="what">What Gemini Personal Intelligence actually is</h2> Gemini Personal Intelligence is Google’s first serious attempt to let AI reason across your personal digital footprint instead of isolated prompts. Until now, even advanced AI assistants worked in a vacuum. You had to upload files, paste emails, explain context and remind the system what mattered. Gemini changes that by using signals that already exist: how you communicate, what you save, what you watch, where you go and how you schedule your time. The result is an assistant that doesn’t just answer questions, but understands patterns: habits, priorities, recurring themes and implicit commitments. This is where AI stops being reactive and starts feeling anticipatory. <h2 id="how">How it works in practice</h2> Once enabled, Gemini can query information across multiple Google services simultaneously. It does not rely on you remembering where something lives. For example, a single question can trigger: <ul> <li>a scan of Gmail threads for context</li> <li>a lookup in Calendar for scheduling decisions</li> <li>a search through Drive documents and PDFs</li> <li>pattern recognition in Photos and screenshots</li> <li>reference to YouTube videos you already watched</li> </ul> You are no longer managing files. You are managing intent. <h2 id="examples">Concrete everyday examples</h2> Here’s where this starts to feel different from any AI we’ve used before. Finding information you didn’t label You took a photo of a whiteboard during a client meeting three weeks ago. No title, no folder, no notes. Gemini can locate it by understanding that the photo was taken during a calendar event with that client and contains handwritten task lists. Recovering forgotten decisions You ask: “Why did I move my call with Anna last month?” Gemini checks the email thread, sees a scheduling conflict with another meeting, and references a note you saved later that week confirming the reason. Understanding implicit commitments You ask: “What promises did I make recently that I haven’t followed up on?” Gemini cross-references emails where you said “I’ll send this” or “I’ll look into it”, checks Calendar for reminders that were never created, and highlights gaps. Visual memory without tagging You are in a parking garage and ask which car you drive. Gemini recognises repeated photos you took of the same vehicle, correlates them with Maps locations and calendar events, and answers correctly without you ever tagging a photo. Watching less, understanding more You ask: “Summarise the YouTube videos I watched about Spanish property taxes and tell me what changed since last year.” Gemini combines your watch history with recent Search results and highlights only what’s new. <h2 id="work">What this changes for work and productivity</h2> In a work context, this is where the impact compounds. Email overload becomes manageable Instead of scrolling, you ask: “What decisions were made in this thread?” Gemini summarises outcomes, not messages. Meetings become searchable memory Gemini can connect calendar events, documents created afterward and follow-up emails to give you a narrative, not just files. Faster decision-making When context is already assembled, decisions stop being blocked by retrieval. You spend less time remembering and more time choosing. This is especially powerful for founders, consultants, creators and knowledge workers whose work is scattered across tools. <h2 id="privacy">Privacy, control and the real trade-offs</h2> This is also where discomfort is justified. Google states that data used for Gemini Personal Intelligence is not used to train public models and that users retain app-level control. You decide which services are connected and can revoke access at any time. Still, this marks a psychological shift. AI is no longer just something you consult. It becomes something that remembers alongside you. The real question is not whether this is safe or unsafe, but whether we are ready for AI to function as an external cognitive layer. <h2 id="availability">Availability and rollout status</h2> There are important limitations right now. Gemini Personal Intelligence is available on the web, Android and iOS — but only for personal Google accounts. Despite being deeply useful for professionals, it is currently not available for Google Workspace accounts. In addition, access requires a Google AI Pro or Ultra subscription and is limited to users in the United States. International rollout is delayed, and availability outside the US remains partially on hold at the time of writing. This somewhat unusual combination — personal accounts only, but not Workspace — strongly suggests a cautious rollout focused on individual behaviour before enterprise adoption. <h2 id="why">Why this matters more than people think</h2> This is not about better answers. This is about shifting responsibility for memory, retrieval and context from humans to machines. We are moving from “AI helps me search” to “AI understands what I mean, even when I don’t remember the details myself”. That will change how we work, how we plan, and how much mental load we carry. The real advantage will not go to those who work harder, but to those who learn how to collaborate with AI inside their existing workflows. The question is no longer whether this is coming. The question is whether you will treat AI as a tool or as a partner in thinking.

An AI Built by AI: Why Claude Cowork Changes Everything

Jan 18, 2026

Something remarkable just happened in the world of artificial intelligence. Not another model release. Not a benchmark win. But a shift that quietly rewrites how software itself may be created in the future. In just ten days, an AI system built another AI system. Not a demo. Not a toy. A working product. Anthropic’s Claude Cowork was largely written by Claude itself, and that single fact alone signals a turning point that is hard to overstate. <ul> <li><a href="#what-is-cowork">What Claude Cowork actually is</a></li> <li><a href="#how-it-works">How Cowork works differently from chat-based AI</a></li> <li><a href="#ai-built-by-ai">An AI built by another AI</a></li> <li><a href="#real-world-examples">Real-world examples of autonomous work</a></li> <li><a href="#why-it-matters">Why this changes how we think about software</a></li> <li><a href="#what-comes-next">What comes next in self-creating technology</a></li> </ul> <h2 id="what-is-cowork">What Claude Cowork actually is</h2> Claude Cowork is not a chatbot. It is not a better prompt interface. It is an autonomous AI assistant designed to operate a computer in the same way a human would. Instead of answering questions in a text box, Cowork interacts directly with the operating system. It clicks, types, opens applications, moves files, creates documents, and coordinates tasks across different tools. In other words, it does the work instead of talking about the work. This makes Cowork fundamentally different from the AI tools most people are used to. Where traditional assistants wait for your next instruction, Cowork takes responsibility for the entire task once you give it a goal. Small caveat: Claude Cowork is currently available on macOS . While it initially required Anthropic’s $100 Max plan, access was expanded almost immediately and it is now available with the much more accessible $20 Pro subscription. This rapid change signals how seriously Anthropic is pushing Cowork toward wider adoption. <h2 id="how-it-works">How Cowork works differently from chat-based AI</h2> Most AI assistants today operate in a loop. You give an instruction. The AI responds. You correct it. You give the next step. The human remains the project manager at all times. Cowork breaks that pattern. You define an objective, such as preparing a presentation, organizing a workspace, or gathering information from multiple sources. Cowork then plans the steps required, executes them, and adapts along the way. You can literally step away from your computer. When you return, the task is done. This shift from reactive assistance to proactive execution is the key innovation. Cowork is no longer waiting for prompts. It is operating as an independent agent with intent. <h2 id="ai-built-by-ai">An AI built by another AI</h2> What makes this moment historic is not just what Cowork does, but how it came into existence. According to Anthropic, Cowork was largely developed by Claude itself. Claude wrote the code, structured the logic, and iterated on the system in a matter of days. Humans supervised and guided the process, but the implementation was done by an AI. This compresses what used to take months of engineering work into days. It also fundamentally changes the economics of software creation. When AI can build AI, development speed becomes exponential rather than linear. This is not automation of tasks. This is automation of creation. <h2 id="real-world-examples">Real-world examples of autonomous work</h2> Even in its first version, Cowork demonstrates how autonomous agents can operate across everyday workflows. <ul> <li>Workspace organization: Cowork can clean up a cluttered desktop, rename files logically, move documents into structured folders, and archive unused materials.</li> <li>Presentation creation: Given a topic and a goal, Cowork can gather information, create slides, format layouts, and prepare a finished deck without human intervention.</li> <li>Calendar and scheduling: It can analyze emails, identify scheduling requests, check availability, and book meetings automatically.</li> <li>Cross-app data retrieval: Cowork connects with other applications to collect data, compile summaries, and generate reports.</li> </ul> What stands out is not that these tasks are possible, but that they happen end-to-end without supervision. The AI does not pause to ask for confirmation at every step. It executes with intent. <h2 id="why-it-matters">Why this changes how we think about software</h2> Cowork represents a transition from tools to collaborators. Until now, software has required constant human orchestration. Even the most advanced tools still depend on people to connect the dots, decide the next step, and handle execution. Autonomous agents change that equation. Work becomes something you delegate, not something you micromanage. This has massive implications for productivity, team structures, and the speed at which ideas become reality. It also redefines innovation cycles. When AI can build software in days, experimentation becomes cheap. Failure becomes faster. Iteration accelerates beyond anything traditional development teams can match. <h2 id="what-comes-next">What comes next in self-creating technology</h2> Cowork is not perfect. It is early. It makes mistakes. It can be slow in certain scenarios. But those limitations miss the point. What matters is the direction. We are entering an era where products can design, build, and improve themselves with minimal human input. The role of humans shifts from builders to directors. In the near future, we may see AI systems that spin up new tools on demand, optimize their own workflows, and deploy updates without waiting for human engineers. The most important takeaway is not fear, but awareness. This is the beginning of self-creating technology. And once that threshold is crossed, there is no going back. Claude Cowork is not just another AI product. It is a preview of a world where software builds itself, and where innovation moves at a pace we are only just starting to comprehend.

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