Technology chosen by requirement. Never by trend.

Because the right technology depends on the requirement — a content-heavy marketing site and a real-time SaaS dashboard have almost nothing in common technically. A fixed stack optimizes for the agency's convenience, not the client's outcome.

No. AI is proposed when a specific workflow has a measurable inefficiency it can address — never added as a feature checkbox. Plenty of projects ship with no AI component because none was justified.

RAG (retrieval-augmented generation) grounds a general model in your specific data at query time — faster to build, easier to update, and usually the right starting point. Fine-tuning retrains the model itself on your data — more expensive and slower to iterate, justified mainly when RAG can't achieve the required consistency or style. Most projects start with RAG.

Both, depending on cost, data-residency and capability requirements. The technology detail pages and individual proposals specify which model families apply to a given use case.

When the core problem is ownership, provenance, or coordination between parties who don't trust each other and don't want to trust a middleman. Loyalty points, internal ledgers, and most 'add blockchain' requests don't meet that bar — a normal database solves them faster and cheaper.

Architecture decisions are made to isolate volatile choices (a specific AI model, a specific library) behind interfaces that can be swapped without rebuilding the whole system — this is part of what 'built to scale' means in practice.

In most engagements, yes — new work is built to integrate with what already exists rather than proposing a rewrite, unless the existing stack is the actual constraint blocking the goal.

Yes. PostgreSQL or MySQL cover the large majority of relational needs; a vector database is added specifically when semantic search or RAG retrieval is part of the system.

Security practices (encryption, access control, audit logging) are applied consistently regardless of stack, and industry-specific compliance requirements (HIPAA-aware patterns for healthcare, for example) shape the architecture from the start rather than being retrofitted.

It's a joint decision. We recommend based on the requirement and explain the trade-offs in plain terms; the client makes the final call, especially where there's an existing team that will maintain the system afterward.