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AF BLOG
Accelerated thoughts
5 Considerations on How AI Rewrites the Rules of User Interaction in Complex Systems
Over the past months, I have had the opportunity to design AI features for a complex enterprise application built on the OutSystems Platform . What began as a technical exploration quickly became something far more profound: a realization that AI doesn’t just add new capabilities to a product, it transforms the way humans and digital systems interact.
As AI begins to permeate workflows, interfaces, and decision-making, we are not simply adjusting our design toolkit. We are
davidearcoraci
Dec 12, 2025
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Shipping a DevOps Wizard with ODC Workbench (our EAP story)
How I used OutSystems’ new Workbench to build a tiny one-page app that talks to an AI agent and deploys apps across our pipeline while keeping things governable, observable, and actually fun.
João Sousa
Sep 16, 2025
Bringing Clarity to Undocumented OutSystems Code with AI
Use AI tools like Amazon Q Developer to generate documentation for undocumented OutSystems apps. Start by extracting the source code, then prompt AI for app overviews, technical docs, user stories, and maintenance notes. Regular AI-powered updates keep docs fresh. Tools like ChatGPT, Copilot, and Gemini also work. This turns mystery code into clear, maintainable systems and builds a culture of documentation.
Natasha De Guzman
Aug 19, 2025
🚀 Building Bridges: Empowering OutSystems with n8n
Discover how n8n, the open-source automation powerhouse, can elevate OutSystems apps by seamlessly connecting APIs, orchestrating AI, and managing complex workflows. From enriching a bookshelf app with AI-generated summaries to embedding a document-aware RAG chatbot, I explore how these platforms combine to build smarter, scalable solutions — all without burdening the core app with extra complexity or code.
Alex Fernandes
Jul 29, 2025
When AI Becomes Both a Bridge and a Backbone: An Engagement Manager Perspective
An Engagement Manager at Accelerated Focus shares lessons from a state government AI project involving the migration and enrichment of 20,000 legacy PDFs using LLMs and vector indexing. The AI powered both data migration and real-time search. Key takeaways include evolving scope, the importance of broad data sampling, UI alignment, managing AI accuracy expectations, and planning for long-term AI maintenance and human-in-loop workflows.
Patty Greer
Jul 8, 2025
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