Technology
Claude
Claude implementation for production software delivery with clean architecture, maintainability, and predictable rollout.
Best For
Ideal use cases
Teams building tool-enabled assistants with predictable behavior
Products needing strong instruction-following and safety boundaries
Workflows that benefit from multi-step reasoning and structured outputs
What We Build
Projects we deliver
Tool-calling assistants and agent workflows
RAG assistants grounded in internal knowledge
Enterprise copilots integrated with RBAC and audit logs
Ecosystem
Compatible tools & integrations
Seamless Integrations
Works with your existing stack
Use Cases
Recommended use cases
Support assistants with citations and escalation
Ops copilots that call internal tools safely
Knowledge assistants for internal teams
Delivery
How we deliver
We design safe tool boundaries and validation for reliable actions.
Prompts and configs are versioned so changes are trackable and reversible.
We add evals and monitoring so quality improves over time.
FAQ
Frequently asked questions
Yes. We implement tool schemas, validation, and safe execution patterns so assistants can take actions predictably.
Yes. We can route across providers based on cost/latency or task type while keeping workflows stable.
We layer guardrails: allowlisted tools, policy checks, permission-aware retrieval, and explicit fallbacks with monitoring.
AI
Add AI on top of this stack
Two common AI services that pair well with this technology, plus a fixed-scope gig to start quickly.
Related
Explore related technologies
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