Applied thinking on how products, platforms, and systems evolve.
This section focuses on structured work developed in real operating contexts, not exploratory writing, but ideas that informed actual decisions.
Connecting Traditional Transport to the Agentic Future
How AI agents and MCP redefine mobility platforms
Context: Pre-acquisition, defining the next phase of Meep
Role: Author and strategic lead
Scope: Product, data, platform architecture, and positioning
Why this mattered
Mobility platforms had already solved aggregation.
The next shift is not more integrations — it’s intelligence on top of those integrations.
AI agents introduce a new interface paradigm:
- from user-driven → agent-driven
- from reactive → proactive
- from planning → orchestration
At the same time, transport operators face a risk:
AI systems are already accessing their data (often poorly, via scraping), without control, context, or monetization.
The question was:
How does mobility evolve when agents, not users, become the primary interface?
Core ideas
- Mobility platforms evolve from aggregation layers → orchestration layers → intelligence layers
- AI agents shift interaction from apps to autonomous decision-making systems
- MCP becomes the bridge that allows agents to discover, understand, and interact with transport systems dynamically
- The winning platforms are not those with the most integrations, but those that translate intent into execution across fragmented systems
- Transport operators must move from passive data providers to active participants in the agent ecosystem
Strategic insight
The key shift is not technical — it’s architectural:
AI agents handle the “what” (user intent)
Platforms like Meep handle the “how” (execution across systems)
This positions mobility platforms as:
→ orchestration engines for agent-driven ecosystems
What this influenced
- Repositioning Meep from MaaS platform → orchestration layer for AI agents
- Product direction toward agent-compatible infrastructure (MCP, real-time systems)
- Data strategy focused on context, not just availability
- Strategic narrative for partners, operators, and stakeholders
What I still believe
- The long-term value sits in the orchestration layer, not the interface
- AI agents will make apps less relevant as primary interaction surfaces
- Platforms that already manage complexity (like mobility) are best positioned to become agent backbones
- Intelligence compounds when systems are connected — not when new tools are added
What I would update today
AI lowers the cost of building, but increases the importance of control over data and execution layers
The interface shift is happening faster than expected (LLMs as default interaction layer)
Speed of iteration is now a strategic advantage, not just operational
The risk of disintermediation (via scraping and uncontrolled AI access) is higher than most operators realize
Guillermo Campoamor 