STARTUPS

AI agent for building the MVP in startups

An MVP without method becomes an endless build: the agent scopes the minimum, prioritises what tests your hypothesis and keeps the launch date real.

AI agent for building the MVP in startups

An AI agent for building the MVP in startups integrates with your tools and current flow, with human supervision and traceability. Before automating we define the task, exceptions and success criteria.

We work from Barcelona and Madrid and remotely across Spain, Europe, LATAM and the United States. The agent adapts to your sector and real process, not the other way round.

We hand over the agent, its configurations, repositories and documentation in accounts owned by your company, without lock-in and with the ability to audit or rotate credentials.

An MVP without method becomes an endless build: the agent scopes the minimum, prioritises what tests your hypothesis and keeps the launch date real.

THE CHALLENGE

building the MVP in startups

In building the MVP in startups, manual work is slow, depends on staff and leaves room for error; automating it without knowing the sector's flow is a risk. The difference is an agent with rules, exceptions and control, built for your operation.

  • Undefined MVP scope

    It is hard to delimit which features are essential and which can wait without user data.

  • Scattered and unanalysed feedback

    Early-user comments arrive through different channels and do not become decisions.

  • Iterations without priority

    Without a clear criterion, the team spends effort on improvements that add no product value.

APPROACH

building the MVP in startups

An agent with rules, exceptions and milestone control, adapted to your sector.

  1. Hypothesis and feedback collection

    The agent consolidates product hypotheses and user comments in one place.

  2. Scope and priority rules

    It applies impact, effort and risk criteria defined by the founding team.

  3. Supervised backlog drafting

    It prepares the prioritised feature list and leaves it for review by the product manager.

  4. Decision traceability

    It records each scope change and its justification to review the MVP's evolution.

DELIVERABLES

building the MVP in startups

An operational, traceable agent under your control.

  • Defined MVP scope

    List of essential and discarded features with their justification.

  • Prioritised backlog

    List of tasks ordered by impact and effort, ready to validate.

  • User feedback synthesis

    Comments grouped by theme with the improvements they suggest.

  • Product decision registry

    History of scope and priority changes with traceability.

TRUST

AI applied to real sector processes with supervision

AI agents adapted to your sector's real operations since 2008, with human supervision, traceability and milestone control in Barcelona, Madrid and remote. Code and documentation under your control, without lock-in.

  • Adapted to your sector's real operation.
  • Human supervision with milestone and exception control.
  • A measurable first release before expanding scope.
  • Code, configurations and documentation under your control.

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