The technology stack behind every successful digital transformation project
Welcome colleagues, consultants, builders, researchers, and everyone who wants to use AI tools in a smarter, cleaner and more meaningful way.
Everything on this page is shared with a simple intention: to help you reach clarity faster, make better decisions, build better systems, and discover ideas that would otherwise take years.
Learning only makes sense when we share it.
Feel free to connect with me on LinkedIn if any of this resonates or if you want to exchange ideas.
This is just the beginning.
Aldin Fajić
Each tool serves a specific purpose in my Blueprint methodology—from research to final handoff.
An integrated browser + AI research environment.
I start nearly all of my initial research here. When I need rapid context, or when a client sends links, web apps, or documentation, Atlas helps me understand it immediately. Since I work exclusively with web applications, having GPT inside the browser dramatically speeds up every early stage of investigation. It's my real-time assistant for breaking complexity into clarity.
Deep research, knowledge mapping and structured thinking platform.
When clients send large amounts of documentation, this is where everything starts making sense. I use Heptabase to create knowledge cards, import PDFs, create mindmaps, whiteboards for each client, and integrate my OpenAI token. What I love the most is that truth has a "source" — every insight stays connected to where it came from. This allows me to refine ideas, question assumptions, and design new digital processes with full clarity.
Try Heptabase (Referral)Lightweight documentation and project structure.
I use Notion when a project requires a lot of text, structured documentation, or client-facing materials. It's perfect for describing modules, functionalities, user expectations, and business rules — in a clean and readable way. Notion is the place where thinking becomes structured.
Technical documentation and engineering alignment.
When the project requires detailed engineering depth or product coordination, Confluence becomes essential. Compared to Notion, this is where final system definitions live: architecture, diagrams, flows, requirements, specification text, and development-level clarity. It's also a natural predecessor to JIRA.
AI-driven interface and mockup generator.
This tool is pure magic when used correctly. I use v0.app to generate clickable mockups — simplified simulations of future digital processes. The goal is not to generate production code (even though the tool can). The goal is transparency: A client sees the future workflow. I validate the logic. Developers understand what needs to be built. This eliminates misunderstandings and speeds up collaboration dramatically.
Try v0.app (Referral)Enterprise integration backbone.
When a client wants a long-term digital foundation, EVIA IP becomes the center point. It connects systems, orchestrates data, standardizes business logic, and provides a scalable architecture for all future modules. It removes chaos and replaces it with a clean, integration-first environment.
Learn about EVIA IPA structured approach from research to development handoff
ChatGPT Atlas + client inputs
Heptabase (whiteboards, mapping)
Notion + Confluence
v0.app mockups (clickable flows)
Confluence → JIRA → Dev teams
Optional: EVIA IP as integration layer — When the project requires full integration backbone, EVIA IP orchestrates all systems and provides long-term scalability.
Connect with me on LinkedIn and share tools you use in your daily flow.
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