Engineering
Why We Use Multiple AI Models Instead of One
Emily Watson|February 20, 2026|11 min
Most AI products pick a single model and build everything around it. We took a different approach. Coasty routes different types of work to different models based on what each does best.
The Problem with Single-Model Architectures
No single model is the best at everything. Some excel at creative writing, others at code generation, others at visual understanding. A single-model approach means you are always compromising on something.
How Multi-Model Orchestration Works
- ●Task analysis determines the type of work needed
- ●Browser navigation and visual tasks route to vision-capable models
- ●Complex reasoning and planning use models optimized for chain-of-thought
- ●Code generation routes to models with strong programming benchmarks
- ●Each model receives context tailored to its strengths
- ●Results are synthesized into a coherent workflow
Multi-model orchestration increased task completion rates by 35% compared to using any single model alone.
The future of AI applications is not about picking the best model. It is about building systems that use the right model for each moment.
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