Comparisons

Straight, qualitative comparisons between tools and approaches we get asked about often.

n8n vs. Zapier vs. Make

All three connect apps and automate workflows. The real difference is hosting model, integration breadth, and how much control you get over data transformation between steps.

RAG vs. Fine-Tuning

Both adapt a general model to your specific knowledge, but they solve different problems and are often confused as interchangeable.

In-House AI Team vs. Agency/Studio

Both are legitimate paths — the right choice depends on how ongoing the need is and how fast you need to start.

No-Code Automation vs. Custom Development

No-code platforms (Zapier, Make, n8n) are the right tool for a large share of automation needs; custom development is warranted when requirements outgrow what a visual builder can express cleanly.

All three are frontier general-purpose model families from different providers. Model capabilities and pricing change frequently, so we compare structurally — ecosystem, integration, and typical strengths — rather than quoting benchmark scores that go stale within months.

Cursor vs. GitHub Copilot

Both bring AI assistance into everyday coding, but they take different approaches — one is a full AI-native editor, the other is a plugin into your existing one.

LangChain vs. LlamaIndex

Both are open-source frameworks for building on top of LLMs, but they emerged with different centers of gravity — LangChain broader, LlamaIndex more retrieval-focused.

Pinecone vs. Weaviate vs. pgvector

All three store and search embeddings for RAG systems, but they differ on hosting model and how much new infrastructure they add to your stack.

Custom Software vs. Off-the-Shelf SaaS

The default assumption should usually be SaaS — custom software is justified when your actual process doesn't fit what any existing product does.

Custom AI Agent vs. Chatbot

Both put a conversational interface in front of users, but a chatbot answers one prompt at a time from a fixed script or knowledge base, while an agent can plan multiple steps, call tools, observe results, and take actions. Most 'AI agent' pitches are actually chatbots — the real distinction is whether it can act, not just respond.

CRM vs. ERP

Both are core business platforms, but they manage different halves of the business — CRM tracks relationships with people outside your company (leads, customers, deals); ERP tracks the resources and processes running inside it (finance, inventory, procurement, manufacturing). The confusion mostly comes from suites that offer both under one brand.

Agile vs. Waterfall

Both are ways to structure a software project, not a judgment of skill or seriousness — the right one depends on how well-defined your requirements actually are before the build starts, not which sounds more modern.

AWS vs. Azure vs. Google Cloud

All three are full-scale cloud infrastructure providers capable of running almost any workload. Pricing and specific service names shift too often to compare meaningfully — the real decision driver is which ecosystem you're already standardized on and what that ecosystem gives you natively.