Claude Cowork
Shared memory across all AI agents and humans on the engagement. Every artifact, meeting transcript (via Plaud), architecture decision, and PR enters the context and is available to any participant — AI or human.
Tech stack
Multi-model. No vendor lock.
The AI-native stack we use on every engagement. Claude Code + MCP + Cowork as the substrate. Claude, OpenAI, Gemini, Cohere, Meta, LLaVA, LangChain + open weights — chosen by task. Underneath, a battle-tested engineering stack proven across 700+ projects.
01 · AI-native substrate
The nervous system of the engagement.
These aren't "tools we use sometimes." They're the continuous substrate the entire delivery runs on. If they're not active from day zero, we aren't doing AI-native — we're doing AI-assisted, which is a different thing.
MCP — Model Context Protocol
AI agents read and act on real systems: GitHub, Jira, cloud consoles, data warehouses, staging environments. No humans in the middle copy-pasting context.
Claude Code
The default pair-programming tool. Every engineer pairs with Claude Code on every task. AI review on every PR before human review. Non-negotiable discipline.
Multi-model router
Each task goes to the best model. Claude Opus for deep reasoning. Haiku for fast loops. OpenAI / Gemini / Cohere / Meta / LLaVA / open weights for specific strengths. Implemented with LangChain + custom code.
02 · AI providers
The nine models we use.
We're not an "Anthropic shop" or an "OpenAI shop." We're an AIFirstCompany — and that means freedom to pick the best model per task, with no exclusive contracts or forced loyalties.
01
Anthropic · Claude
Deep reasoning, Code, Cowork, MCP-native.
02
OpenAI · GPT
Strong generalist, mature tooling, Realtime API.
03
Google · Gemini
Massive context window, multimodality.
04
Cohere
Embeddings, rerank, enterprise RAG.
05
Meta · Llama
Open weights, custom fine-tuning, on-prem.
06
LLaVA
Open-source vision, specialized OCR.
07
LangChain
Agent-orchestration framework.
08
AWS Bedrock
Models available under enterprise-cloud agreements.
09
Krutrina
Specialist for specific local cases.
03 · Common engineering stack
Battle-tested across 700+ projects.
Our stack is optimized for banking, government, and infrastructure — where stability and scalability matter more than fashion. We adapt to the client's stack when it makes sense.
Backend
Java · .NET Core · Node.js
Frontend
React · Angular · Next.js
Mobile
React Native · Ionic
Data
SQL Server · MongoDB · PostgreSQL
DevOps
Kubernetes · Docker · Jenkins · GitHub Actions
Cloud
AWS · Azure · Google Cloud
OS
Linux · Windows Server
Automation
UiPath · Bizagi · IBM BPM
Go deeper
Read how this stack runs in the Method.
The stack is half the story. The other half is how we operate it, how we pick models, how we enforce human oversight.