Model selection guide
Choose the right AI model based on how you actually plan to use it.
Most small businesses do not need every model. They need the right one for writing, analysis, multimodal tasks, workflow integration, privacy expectations, and budget.
How to decide
- What tasks matter most: writing, analysis, coding, media, or support?
- Do you need a friendly interface, API integration, or both?
- How sensitive is your data?
- Do you need high quality, low cost, or a balance of both?
Simple comparison view
| Model / approach | Often strong for | Watch-outs |
|---|---|---|
| ChatGPT-style general assistants | Broad business tasks, drafting, ideation, and general-purpose support | Needs workflow design and review standards to stay consistent |
| Claude-style long-context assistants | Large documents, reasoning-heavy writing, policy or process drafting | May still need structured prompts and handoff design |
| Gemini-style ecosystem assistants | Google-adjacent workflows and multimodal tasks | Best fit depends on existing stack |
| Open-source or local models | Privacy-sensitive experiments, custom deployments, cost control | Usually needs more setup and technical support |
What GGAP AI helps with
Tool fit
Choosing platforms that match budget and team maturity
Workflow fit
Making sure the model choice matches the actual job to be done
Rollout design
Setting expectations, guardrails, and review checkpoints