Python / FastAPI
forms the domain or execution core of the solution.
Top technology
AI Agency & AI Engineering
Production-ready AI agents, agentic AI, LLM integration and AI automation for companies and mid-market teams — from use case and architecture to governance, integration and operations. General Informatics covers analysis, target architecture, implementation, integration, quality assurance and production-oriented operations from one accountable partner.
Architecture and stack
The most common technology chain for AI Agency & AI Engineering
Technology is selected according to the problem, operating model and existing landscape—not fashion. The following chain is a frequent and sensible starting point.
Python / FastAPIMCP / A2AOpenAI / Anthropic / GooglePostgreSQL / Vector SearchDocker / CI/CDEvals / Observability
MCP / A2A
provides persistent data, state or integration information reliably.
OpenAI / Anthropic / Google
connects components with the wider system landscape through typed, testable contracts.
PostgreSQL / Vector Search
isolates runtime and dependencies for reproducible deployments.
Docker / CI/CD
handles caching, asynchronous processing or horizontal decoupling.
Evals / Observability
makes releases, observability and secure operation repeatable.
Architecture decisions
- Build versus buy and provider dependencies
- Synchronous request versus asynchronous job
- Tenant separation and data isolation
- Error handling, retries and idempotency
- Scaling, cost and performance budget
- Observability, audit and recovery
Technical quality goals
Clear interfaces, limited coupling, traceable data flows, reproducible environments, automated tests and a documented recovery path. Lighthouse-sensitive frontends use lean assets, server-side metadata and controlled third-party scripts.
Demand and keyword cluster
Important search and project situations
The 30 priority phrases are distributed across the hub and detail pages. Each page shows only the relevant subset so content and search intent stay focused.
GDPR-compliant AIAI governanceAI agent audit trailself-hosted AImulti-agent systems
Project CTA
Get a concrete assessment for AI Agency & AI Engineering
Describe the current system, target, required interfaces and current blockers. General Informatics turns this into a technical first assessment with sensible phases, risks and next steps.