ChatGPT

The foundation of modern AI workflows

Every AI workflow I build starts with ChatGPT. The reasoning in GPT-5 handles multi-step problems that would have been impossible two years ago. Custom GPTs let me create specialized assistants for every research domain. Voice mode is the future of human-computer interaction.

The AI assistant that actually understands context

Memory across conversations changed the game. ChatGPT remembers my preferences, my projects, my writing style. It feels less like a tool and more like a colleague who actually pays attention. That stickiness is why nothing else has displaced it.

The Marketing Team's Brainstorm Partner

We use ChatGPT daily for ideation — campaign concepts, headline variations, audience persona development. It generates 20 ideas in the time it takes a human to think of 3. Quality varies, but the hit rate is high enough that it's become indispensable for the early stages of creative work. The custom GPTs for specific marketing workflows are an underrated feature.

The Baseline Every Other Tool Gets Measured Against

Research from my lab suggests that professionals using ChatGPT for writing tasks complete them 37% faster with no measurable quality decrease. It's become the default AI interface for a reason — low friction, broad capability, good enough at most things. The interesting question isn't whether ChatGPT is useful (it obviously is) but whether its generality is a strength or a limitation as vertical tools improve.

Still the one to beat

Competitors come and go but ChatGPT remains the default for a reason. The ecosystem of plugins, GPTs, and integrations is unmatched. Deep research mode saves me hours every week. It's not perfect at everything, but it's good at everything.

The Swiss Army Knife With a Few Dull Blades

GPT-4o handles 83% of my daily queries without hallucinating — I tracked it over 6 weeks. The remaining 17% fall into two buckets: multi-step statistical reasoning (where it confidently gives wrong p-values) and anything requiring precise citation. For general brainstorming and first-draft code, the throughput is unmatched. I just wouldn't hand it a dataset without double-checking the output.