Use multiple coding models, inspect costs, connect tools with MCP, and keep your AI workflow portable instead of tied to one vendor UI.
Developers need more than a chat box. They need model choice, cost awareness, reusable workflows, code artifacts, and control over where data lives.
Common pain points
Desired outcomes
Recommended features
13+ AI Providers
Stop bouncing between vendor UIs. NovaKit lets you bring your own API keys, switch models fast, and keep your AI workflow in one place.
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Cost Intelligence
NovaKit gives you per-message estimates, model-level visibility, and budget awareness so you can use the right model without surprise bills.
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Prompt Chains
Build prompt chains with branching logic, step outputs, variables, and visual flow editing so your best AI process becomes repeatable.
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MCP & Artifacts
NovaKit helps you go beyond chat by connecting MCP servers and rendering generated outputs like code, React components, Markdown, and diagrams.
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We shipped 40 real pull requests using Claude Opus 4 and GPT-4o back-to-back. Here's which one wins on refactoring, debugging, test generation, and agentic coding — with concrete examples and cost breakdowns.
A practical comparison of the top AI models in 2026 — GPT-4o, Claude Opus 4, Gemini 2.5 Pro, Mistral Large, and more — ranked by coding, writing, analysis, cost, and speed for real-world tasks.
MCP is the plug standard that lets any AI model connect to any data source or tool — Gmail, GitHub, Notion, your filesystem — without bespoke integrations. Here's what it is, why it won, and how to actually use it in 2026.
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NovaKit combines local-first control, model flexibility, and workflow depth for people who use AI seriously every week.