ChatGPT

ChatGPT — Technical Documentation Notes

Developers working with ChatGPT should be aware of the following platform capabilities and architecture considerations:

• Model selection: ChatGPT exposes multiple model tiers — GPT-6, GPT-5.6, and GPT-5 Thinking Mini — allowing workload-appropriate model routing.
• Codex: A dedicated coding capability for code generation, debugging, and explanation tasks.
• Custom GPTs & Projects: Build, configure, and share custom AI assistants with specific instructions, knowledge, and tool access — suitable for internal tooling or end-user-facing products.
• Memory & context: Persistent memory across sessions enables stateful interactions, reducing the need to re-supply context on repeat usage.
• Deep research: Supports multi-step reasoning and research tasks, useful for technical investigation and synthesis workflows.
• Integrations: Native integrations with Canva, Spotify, PowerPoint, Slack, and Teams; these can extend ChatGPT's reach into existing enterprise toolchains.
• Cross-platform: Available via web, iOS, Android, and desktop — relevant for teams building or deploying workflows across device types.
• Pricing & access tiers: Free, Go ($8/mo), Plus ($20/mo), Pro (from $100/mo), Business, and Enterprise — higher tiers unlock access to more powerful models and higher usage limits.