Freelance technical partner for AI agencies

This model works when a project is already sold or scoped but lacks a specific technical capability: building a dashboard, integrating an AI model, connecting APIs, making n8n reliable or taking a prototype toward production. I can join an existing project without replacing the agency's entire delivery process.

The first discussion identifies the deliverable, dependencies, approver and timeline constraints. If the project needs several disciplines continuously or broad on-call coverage, a dedicated team is more appropriate than one freelancer.

The agency chooses the level of visibility that fits the contract. I can work white-label inside your tools and ceremonies, or join as an identified technical partner when the client needs direct access to the developer. Responsibilities and decision channels are written down in both cases.

I do not contact the end client outside the agreed framework or reuse their data, access or deliverables. Any public case study requires approval and removes secrets, identifiers and sensitive commercial information.

I can own a Next.js or React workstream, a Node.js or Python API, PostgreSQL or Supabase data, and the n8n workflows connecting the product to CRM, email, documents or AI services. Scope stays focused on a user outcome rather than a list of technologies.

For RAG or AI agents, we define approved sources, permissions, output contracts, uncertainty paths and actions requiring human approval. For n8n, handoff also covers failures, duplicates, retries, credentials and operating notes.

The TeamIA prospecting case study shows this delivery model: a business application for campaign setup, prospect review, deduplication and message approval before any action. The interface complements n8n workflows instead of exposing operations teams to execution details.

The broader TeamIA project also presents an AI agent platform and business demos. These cases document my role and visible deliverables; they do not imply that every engagement uses the same architecture or guarantees the same outcome.

A workstream starts with a short note covering the objective, users, inputs, outputs, dependencies, failure cases and definition of done. Access is limited to what is required and remains in accounts controlled by the agency or client. Decisions that change scope are confirmed in writing.

I deliver in demonstrable increments. Review covers expected behavior, permissions, important failures and the team's ability to operate the system. Code is not considered complete while essential configuration and recovery knowledge exist only in my head.

My published standard rate is EUR 350 per day or USD 400 per day, depending on contract currency. The engagement may cover a short audit, a defined workstream or reserved weekly capacity. The proposal specifies included work, third-party services, timing, deliverable ownership and maintenance terms.

Like any freelancer, my capacity is limited. Repositories, accounts, secrets and environments remain under your control to reduce dependency. Documentation, versioned exports and handoff sessions let your team or another contributor continue the work.