Prom (@prom_io): PROM: April & May Recap

PROM: April & May Recap April and May were about making the PROM AI direction more complete. After March helped define the initial structure, the following two months focused on connecting the pieces: the Agent Interaction Layer, the Verification Network, the Settlement Rail, ecosystem partnerships, and the PROM Network as the foundation underneath. The core thesis remained the same: AI agents are becoming economic participants. But during April and May, this thesis took shape. We moved further toward a layered model in which agents can discover services, interact with one another, verify outcomes, and settle value through programmable economic logic. Strategy PROM is no longer just describing the need for AI-native economic infrastructure. We are defining the layers required for that infrastructure to work: the Agent Interaction Layer — how agents discover services, understand capabilities, request execution, and coordinate; the Verification Network — how outcomes are evaluated, attested, challenged, and trusted; the Settlement Rail — how verified outcomes become escrow logic, payment release, and value transfer; the PROM Network — the foundation that gives the system economic finality and infrastructure support. Development On the development and architecture side, the focus was on shaping the core components of the PROM AI stack. The Verification Network became a central part of this direction. Its role is to make agent outputs economically usable by introducing evaluation, attestation, validator accountability, disputes, reputation, and incentive mechanisms. The Settlement Rail defines the next step after verification. Once an outcome is validated, the system needs a way to convert that result into economic action. This includes escrow, conditional payment release, settlement logic, value transfer, and finality. In this model, payments are not simply triggered by intent. They are connected to verified execution. At the same time, we began outlining the Agent Interaction Layer more clearly. This is the part of the stack responsible for what happens before verification and settlement: identity, service discovery, capabilities, pricing, policies, usage metering, and A2A request/response flows. Partnerships April and May also brought significant ecosystem expansion. PROM announced collaborations across AI agents, AI services, social coordination, verification, data integrity, infrastructure, and execution. These partnerships were not isolated additions. They helped show how the different parts of the PROM AI stack can connect to real projects and usecases. AGNT Hub is a strong fit because it focuses directly on AI agents, task execution, and cross-ecosystem coordination. HyperGPT strengthens the AI services angle, connecting PROM to a broader market of AI-native tools and workflows. PundiAI adds a decentralized AI infrastructure perspective, supporting the idea that PROM is building an economic layer for AI systems, data, and agent-driven applications. Other partners in this category included SodabotAI, ENI, and Aylab, expanding the ecosystem around bots, automation, AI-powered services, and user-facing agent experiences. On the coordination side, UXLINK stood out as one of the strongest partners. Its focus on social infrastructure and large-scale network interaction fits naturally with the need for discovery, identity, context, and trust signals across agent ecosystems. KaratDAO and Units Network also supported this direction, adding community infrastructure, interoperability, and broader network expansion. For verification and data integrity, Numbers Protocol was the key strategic fit. Provenance, authenticity, and trusted data are directly connected to the Verification Network. In an agent economy, the system needs to know where an output originated, whether it can be trusted, and whether it meets the conditions required for settlement. SwarmBase and Bitroot broadened this category by adding further support around data, infrastructure, authenticity, storage, attestations, and validation systems. Finally, iFlux Global strengthened the infrastructure and execution side. PROM’s stack cannot remain abstract. Agent-driven logic needs to connect to real workflows, external systems, and broader Web3 infrastructure. These partnerships help expand the surface area where PROM’s architecture can be applied. Taken together, the April and May partnerships showed PROM moving beyond a narrow narrative and into a broader ecosystem strategy — one that connects AI agents, verification, settlement, data, infrastructure, and real economic activity. Long-form Content Long-form content during April and May helped clarify the architecture behind this direction. The main focus was not simply to publish updates, but to explain how the different parts of the PROM AI stack fit together. The articles expanded the narrative around three core layers: the Agent Interaction Layer, the Verification Network, and the Settlement Rail. By the end of May, the architecture was no longer presented as a single abstract thesis. It had become a layered system with clear roles for interaction, verification, settlement, and network-level support. Conclusion April and May were about connecting the pieces. The architecture became clearer, the ecosystem expanded, and the PROM AI stack became easier to explain as a complete framework rather than a set of separate ideas. The work is still early, but the direction is becoming more concrete. The next stage is about turning these layers, partnerships, and architectural ideas into practical flows — moving from structure to usage, and from ecosystem alignment to real execution. More updates are coming as we continue building.