Frequently asked
questions.
Everything you need to know about working with us on AI projects.
An AI agent is an autonomous system that receives a goal, plans steps, executes actions through external tools, and adapts when something fails. A chatbot answers questions in a conversation. An agent completes tasks — it can query databases, send emails, update CRMs, generate documents, and make decisions. The difference is operational: chatbots talk, agents act.
RAG (Retrieval-Augmented Generation) is a pattern that lets AI models answer accurately about your private data. Instead of training a model on your documents, you search for relevant information at query time and inject it into the prompt. This gives you accurate, sourced answers without expensive fine-tuning, and the knowledge stays up-to-date as your documents change.
Projects typically range from $3K to $25K depending on complexity. A focused automation agent (e.g., ticket classification) starts around $3-5K. A multi-agent system with RAG and integrations is $10-25K. We provide fixed-price quotes after a discovery call — no hourly billing, no surprises. The discovery call is free.
Most projects go from discovery to production in 4-8 weeks. Week 1 is discovery and architecture. Weeks 2-5 are build and iteration. Weeks 6-8 are hardening, deployment, and handover. Complex multi-agent systems may take 10-12 weeks. We share a detailed timeline with milestones after the discovery phase.
We primarily work with Claude (Anthropic) for its superior tool use and structured output capabilities. We also integrate Gemini (Google), GPT-4 (OpenAI), and local models via Ollama depending on the use case. The model choice depends on your requirements: cost, latency, privacy, and task complexity. We help you pick the right model for each part of your system.
Yes. We are based in Spain but work globally. Most of our clients are in Europe and the US. All communication is in English or Spanish. We work in your timezone and adapt to your team's workflow.
You own everything: source code, documentation, runbooks, and monitoring setup. We offer optional managed operations plans for ongoing maintenance, monitoring, and optimization. Most clients start with a Launch Support package (4 weeks post-deploy) and some continue with a Strategic Partnership for ongoing AI development.
We design all systems with privacy by default. Data can stay on your infrastructure. We support SOC 2, GDPR, and HIPAA-compliant architectures. For sensitive data, we use local models (via Ollama) that never send data to external APIs. NDAs and IP transfer are standard in every engagement.
Yes. Check our case studies page for anonymized client results and our open-source portfolio. Our most visible project is Ollama Laravel with 300K+ downloads. We also built Gemini Mac Pilot, a voice-controlled macOS agent that went viral on LinkedIn with 95K+ impressions.
Book a free 30-minute discovery call. We'll discuss your use case, assess feasibility, and outline a potential approach. Within 5 business days after the call, you'll receive a proposal with scope, timeline, and a fixed-price quote. No commitment required.