Autonomous agents
Multi-step agents that plan, call tools, and act across your systems - booking, filing, chasing, and reporting back.
Applied AI
Put AI to work in your business
Hand the busywork to software. We build AI agents and workflows that research, draft, summarise, and act across the tools you already use - with guardrails, so you can trust what they do while you sleep.
Explore your first agent workflow What you get
- Hours of manual work automated every week
- Answers grounded in your own documents, with citations
- An assistant your team or customers actually use
- Proof it works before it ships, and monitoring after
The stack
- Claude / Anthropic Agent SDK
- Mastra
- LangGraph
- Vercel AI SDK
- Model Context Protocol (MCP)
- RAG & Vectorize
- Convex (agent state)
- TypeScript
Applied AI · in depth
AI that does the work, not just the talking.
Chatbots demo well and then gather dust. We build agents and workflows that plug into your real tools and data - researching, drafting, deciding, and taking action, with guardrails you can trust and receipts you can check.
Workflow automation
Durable pipelines that classify, extract, summarise, and route work the moment it arrives, around the clock.
Answers from your data
Grounded answers over your documents and records, with citations - so your team stops digging and starts deciding.
Evals & guardrails
Test suites and scoring that measure agent behaviour before and after launch. You see the evidence, not just the demo.
Frameworks & platforms
Anthropic Agent SDK Claude-native agents & tools
Mastra TypeScript agent framework
LangGraph Stateful agent graphs
Vercel AI SDK Streaming UI & providers
Model Context Protocol Tool & data connectivity
LlamaIndex Data & retrieval pipelines
Cloudflare Workers AI Edge inference & AI Gateway
Promptfoo / Braintrust Evals & tracing
Applied AI FAQ
Common questions about agent builds.
The full technical FAQ — web apps, Apple platforms, hosting — lives on the services page.
What does "Applied AI" mean, and what can you build?
AI that ships into your business, not a demo. Custom agents and workflows wired into your real tools and data: internal copilots, document and research automation, customer-facing assistants, and pipelines that classify, extract, and act. Every build comes with evals and guardrails so you can trust what it does.
Which AI models and SDKs do you build with?
We default to the latest Claude models via the Anthropic Agent SDK and API, and connect tools and data through the Model Context Protocol (MCP). We add RAG / vector search where retrieval matters, and use Convex to manage agent state and orchestration. We are model-flexible when a project calls for it.
How do you handle data privacy in AI workflows?
We design around data minimisation: scoping what the model can see, keeping sensitive data in your own infrastructure, and using retrieval rather than training on your data. We are transparent about which providers process what, and can architect for region-specific requirements.