Every AI project we took on started the same way. A new client, a new idea, real urgency — and then two weeks of setup before we could write a single line of actual product logic. Configure Django. Wire up Celery. Write the Docker Compose file. Set up Redis. Hook in the LLM. Fight the environment variables. Do it all again for staging. Do it all again for prod. We're a team building AI applications for businesses across Latin America and the Caribbean. In three years, we rebuilt this foundation twelve times. Different projects, different clients, same skeleton. So we extracted it, cleaned it up, and open-sourced it. What Glápagos Backend is Glápagos Backend is a production-ready Django boilerplate designed specifically for AI-enabled applications. It's opinionated where it matters and open where you need flexibility.…