A familiar API surface
Plan around familiar API conventions and reduce coupling between application code and model providers. Confirm supported protocols and models before integration.
Explore ↗PLATFORM / PRODUCTS
Bring AI into the work that matters.
Plan model integrations around clear interfaces, practical engineering and understandable costs.
Designed for model workflows
Build a consistent engineering workflow for chat, generation and tool use. Evaluate models against task quality, context needs and cost.
Explore ↗Understand your usage
Estimate costs using explicit rate multipliers and usage units. Agree on quotas, billing rules and failure handling before going live.
Explore ↗PROTOCOLS, NOT PROMISES
Start with the protocol. Choose the right model.
Model families, wire protocols and tool capabilities are not interchangeable. These are integration guides, not a statement that every model is available or that a provider partnership exists.
OpenAI-compatible
Understand chat requests, message structure and streaming event patterns.
Read the protocol guide ↗Anthropic / Claude
Native Messages and OpenAI-style APIs have different contracts. Verify the intended protocol first.
Read the protocol guide ↗Google / Gemini
Distinguish model identifiers, content structure and tool support. A protocol adapter does not guarantee full equivalence.
Read the protocol guide ↗DeepSeek
Compare reasoning and non-reasoning workloads and check context limits and actual model availability.
Read the protocol guide ↗YOUR WORKFLOW
Make integration a maintainable capability.
Commercial applications
Plan AI capabilities for support, search and content workflows, with clear quality and data boundaries.
Research & evaluation
Compare models on reproducible datasets. Record parameters, versions and evaluation results.
Prototypes & startups
Validate a product idea with a minimal integration before investing in scale.
Batch processing
Design queues, rate limits and retries to keep larger workflows manageable.
Agents & tool use
Separate model output from execution, and authorize and validate every tool call.
Developer workflows
Understand each editor or client’s protocol requirements and verify compatibility by version.
LET’S BUILD
Your next AI product starts here.
Tell us about your use case, model requirements and budget. Let’s work out a practical integration plan.