A unified, cross-platform standard for verifying and allocating work.
POWER is the universal clearing protocol and foundational credential standard for scheduled labor markets. Every verified shift generates a permanent, time-based worker record — enabling the clearinghouse to produce labor schedules continuously and autonomously. A shared ranking mechanism means every worker's record is recognized and honored across every connected platform. This protocol inverts the traditional scheduling model — producing measurably better outcomes for employers, workers, and the communities they serve.
Traditional scheduling is trapped within an isolated, one-to-many administrative context. An employer dictates a schedule for a siloed local roster. Worker history — their verified locational experience, job function, and capability — is economically invisible beyond the boundaries of that single employer relationship. Adding a new employer merely creates another isolated node, absorbing information asymmetry costs with no market-clearing mechanism possible.
POWER converts this isolated context into a decentralized Geospatial Router. Every verified shift generates a permanent routing table owned by the worker — allowing the cascade engine to route personalized shift opportunities based on the live trajectory of their actual contribution. As connected platforms join, the network value compounds exponentially, triggering positive feedback loops that benefit all participants.
The core architectural insight of the POWER protocol is that a work schedule should be viewed as a cleared market rather than an employer-to-employee matching system. Rooted in the principles of mechanism and market design, this framework shifts the primary organizational unit of labor matching away from traditional employer-to-employee relationship tracking toward localized, cross-employer shift-to-skill allocation. The macroeconomic value and network laws — Sarnoff's, Metcalfe's, and Reed's — are not promotional features coded manually into software; rather, they are structural characteristics that naturally emerge from the network rules, boundaries, and communication pathways established by the protocol. The first external claim this architecture places before the research community: the POWER Clearinghouse externalizes the computation of labor scheduling from the human mind — moving it from siloed individual administrative judgment to a shared, governed, reproducible mechanism that operates the same way for every participant, everywhere the network reaches.
The cascade opens a minimum of 14 days before the work week — producing advance schedule notice as a structural output rather than a compliance layer. Every cascade opening is timestamped on the permanent blockchain ledger, constituting an immutable audit trail for fair workweek and predictive scheduling compliance. The mechanism does not just meet advance notice requirements. It proves compliance.
Every shift allocated through the POWER mechanism is paired with a Power Account Routing Token (PART) — a signed, encrypted token analogous to the routing and account number at the base of a check. The routing number identifies the institution; the account number identifies the specific account. The PART encodes both: the routing instructions governing the priority rollout and the account information identifying which POWER accounts receive the offer. Workers hold accounts with the POWER Clearinghouse. Work offers flow to those accounts through the PART. The pairing of a PART with a shift produces a tokenized shift.
The PRT is generated by the clearinghouse at the moment of cascade computation — the authoritative routing decision, cryptographically signed and encrypted before transmission.
Transmitted securely to the requesting Client Broker via the A2A endpoint. The Client Broker's local interface decrypts the PART to selectively unlock the priority rollout gates and natively route shift opportunities to the targeted workforce. The PRT cannot be altered without breaking its cryptographic signature.
Any worker can verify their routing at powerclearinghouse.org. The clearinghouse returns the authoritative PRT for any shift. If what the worker was shown on their Client Broker matches — the routing was honored.
Enter your shift identifier below. The clearinghouse returns the authoritative Power Account Routing Token for that shift. Compare it to what your platform showed you. This is the bilateral check that makes the mechanism's integrity auditable end-to-end — not just the credential, but the routing decision itself.
Resolution, in photography or computer vision, describes how much information is captured per unit of physical space. Higher resolution means more information per square meter — finer distinctions, more precise representation of physical reality. Lower resolution means coarser approximation and lost detail.
The POWER mechanism increases the resolution at which labor is represented. At weekly shift resolution, you know a worker was at a location for a block of hours. At exercise resolution, you know which specific exercises were performed, at which station, verified to a defined standard. At real-time clearing resolution, you know this continuously as it happens. Every reduction in the minimum allocatable unit and every reduction in the clearing interval is an increase in the resolution of the labor representation.
Weekly clearing. The minimum allocatable unit is a shift. Server time and role time accumulate linearly from payroll records into the worker's portable routing table. The cascade routes work opportunities to priority tiers based on this foundational, three-dimensional profile.
Skills bisect the role as exercise definitions proliferate. The minimum allocatable unit shrinks toward the exercise layer. Clearing frequency increases as network density grows. Shifts fracture into adjacent, non-overlapping periods to isolate and verify distinct contiguous segments of role time.
Continuous real-time clearing. The discrete exercise is the minimum allocatable unit. Certified skills completely bisect every role container. Every square meter of the Earth becomes a live coordinate grid with the native ability to clock in, verify capability, and clear a transaction instantly. The market clears continuously at infinite resolution.
The cascade's clearing frequency compresses as a direct mathematical function of market density. As connected platforms, employers, and workers saturate the network, the optimal clearing window dynamically shrinks. The system approaches Fractal Labor not through a software redesign, but as an emergent structural characteristic naturally generated by the geometric rules and boundaries established by the protocol.
All POWER accumulation is denominated in full-time employee year (FTE-year) equivalents using the 32-hour POWER Base Unit — 1,664 hours annually. The 32-hour base reflects the direction of global labor policy as automation reduces required human work hours. The total POWER score across the entire ledger is a numerical representation of the total verified FTE-year labor value that has flowed through the network.
The foundational dimension — the locational experience of verified presence that prior systems could never capture. Server time is the first entry in a worker's permanent routing table: verified presence at a physical location, confirmed through payroll at 100% confidence. A worker who has spent years at a location has accumulated genuine knowledge — the team, the operations, the culture — that the routing table makes legible, portable, and algorithmically actionable.
Verified experience performing a defined job function. Role time is substantiated at 100% confidence by cross-referencing scheduled shift structures directly against settled payroll records. This dual-signature verification engine eliminates approximation and structural manipulation, rendering an ungameable account of core competency. Deployable from day one of integration without additional physical verification infrastructure.
Verified application of a specific skill during a defined exercise. The only nullable dimension. When skill time accumulates, server and role time necessarily accumulate simultaneously. Enables progressively high-resolution scheduling contexts as operators decompose legacy roles into discrete exercises over time, eventually reaching continuous exercise-level clearing.
The POWER score is not a subjective performance rating. It is a direction vector — the compiled sequence of a participant's Proof of Work Event Record (POWER) verifying exactly where a worker has actively directed their labor energy.
Rather than relying on unstandardized, siloed manager evaluations, the routing engine tracks verified, deterministic facts: server time and role time accumulate based entirely on physical location and functional intent cross-referenced with payroll settlement, with no qualitative approximation embedded. No connected entity can manipulate a score. Workers seamlessly receive priority network access matching the structural depth of their revealed operational history, triggering three distinct phases of network scaling.
Server time is the foundational dimension — the locational experience of verified presence that legacy systems could never capture. Payroll-verified from day one. Every new participant adds linear value proportional to their local server time accumulation. This is the entry state: physical presence, documented and absolute.
As multi-location platforms integrate, cross-site matching between compatible worker roles and regional shift requirements creates quadratic network value. N workers mapped across M connected nodes generate dense, cross-employer liquidity pools. The utility of the shared routing network scales with the square of participating locations.
When high-resolution skill time is introduced, autonomous operational groups can seamlessly form across legacy server and role boundaries. Workers sharing verified server, role, and skill credentials can staff any complex local environment together as an instantly certified team. With N distinct skill sub-networks, potential group formations grow exponentially as 2n. Each new Client Broker doubles the compound credential space for every worker already on the ledger.
No worker-shift pair that are unmatched would both prefer to be matched. Allocations hold without post-match renegotiation. Follows from Hatfield, Kominers & Westkamp (2021).
No worker can improve their allocation by misrepresenting preferences. Honest engagement is the individually rational strategy. The POWER record compiles honest revealed choices and converges toward each worker's true type.
Workers who invest in verified skills receive better routing priority at a rate consistent with approximate social optimality. From Hatfield, Kojima & Kominers (2014), Theorem 5.
Efficiency gains from better matching return to the workers who generated them, calibrated to market design optimality conditions from Doligalski, Dworczak, Akbarpour & Kominers (2025).
Matching quality improves monotonically with each cascade cycle as the singular POWER record accumulates verified Proof of Work events. Ranking precision increases continuously — the mechanism gets better the longer it runs.
The cascade runs in $O(n \log n + n \times m)$ — not NP-hard. The POWER ranking transforms combinatorial scheduling into priority-ordered greedy allocation. The XCONE property ensures near-optimal outcomes.
The POWER Clearinghouse exposes an Agent-to-Agent (A2A) endpoint compatible with the Google A2A open standard. Any workforce platform, enterprise scheduling tool, or proprietary HR system can register shifts and request priority rankings as a Client Broker. Submit a set of shifts and an anonymous roster array. The clearinghouse registers each shift with the protocol, runs the cascade, and returns a Power Account Routing Token for each shift — producing a tokenized shift with a bitwise-optimized priority ranking of eligible workers. One authenticated call.
The founding operator of the POWER protocol and the initial core clearinghouse infrastructure layer. Running the centralized ledger architecture, managing cryptographic Oracle verification vectors, and processing live routing streams for the network's initial enterprise participants. Full production-scale clearing matches activate Q3 2026.
ollieboard.com →The POWER protocol standard is open to sovereign enterprise networks, regional workforce platforms, large-scale staffing operations, and independent industry clearinghouses looking to deploy localized settlement infrastructure. Nodes and connected Client Brokers inherit mutual credential recognition natively across the entire distributed network.
Inquire about connecting →Queries the decentralized POWER Clearinghouse ledger directly. No account required. No localized proprietary data collected. Any credential state anchored by an authorized Client Broker is instantly verifiable here, completely independent of any individual platform interface or central clearing entity.
Market design — in the formal sense of Roth (2008) — is the combination of a mechanism and a user interface. The POWER Clearinghouse is the mechanism: the allocation rules, the verification architecture, and the credential standard. The formal properties of the mechanism are independent of any specific application interface. Any connected Client Broker can deploy its own proprietary interface over the exact same underlying infrastructure.
For workforce platforms and enterprise scheduling software, competing on localized features or isolated calendar matching has hit a ceiling of diminishing returns. The structural friction of the hourly market isn't a feature deficit; it is an infrastructure deficit. By decoupling the underlying clearing mechanism from the front-end user experience, the POWER protocol allows software providers to stop managing isolated scheduling contexts and start operating thick, high-frequency networks. Platforms no longer bear the overhead of verifying historical competence or chasing local roster thickness from scratch — the protocol handles clearing natively.
The POWER protocol is the formal specification for a scheduled labor clearing market that converts isolated scheduling contexts into an open, many-to-many clearing network. Its core properties — stability, strategy-proofness, investment-efficiency, and convergence — are grounded in published mechanism design theory and designed to hold under real-world market conditions. Mutual participation in this shared standard triggers immediate, non-linear returns for every connected platform, cementing the protocol as the universal infrastructure layer for scheduled labor.
Contact about connecting →The POWER Clearinghouse welcomes direct engagement from economists, computer scientists, and market designers analyzing many-to-many clearing infrastructure. While the underlying mechanism was initially designed around real-world workforce field research — the foundational 2017 paper — the protocol has been methodically developed, simulated, and refined over the subsequent nine years. The resulting engine represents the first practical implementation of stable matching properties operating natively across a distributed labor network.
The current 2026 production deployment serves as the definitive empirical test of whether these mathematical traits hold under real-world conditions. We are specifically seeking research partners who can formally evaluate whether location-side choice functions satisfy the conditions of Hatfield, Kominers & Westkamp (2021) within this high-resolution scheduling context. Anonymized matching datasets will be made available with employer consent following the field study close in September 2026.
Rahkeem Morris has spent his career at the center of the hardest problem in labor technology — not merely as an observer, but as a worker, an operator, a policymaker, and now an inventor.
He held thirteen hourly jobs before and during his education at Cornell University, where he graduated magna cum laude in Applied Economics and Management. At Harvard Business School, he completed his MBA and pursued research on what he termed a high-performance labor market intermediary — a decentralized mechanism for physical labor allocation — conducting 42 semi-structured interviews across scheduling-intensive industries. That research was formally advised by Christopher Stanton, Associate Professor at Harvard Business School, whose work sits at the intersection of labor markets, personnel economics, and the future of work. It was conducted within an intellectual environment shaped by leading scholars at the intersection of labor economics and market design at both institutions.
He founded HourWork in 2017 and scaled it to more than 20,000 locations nationwide, creating a market of more than 13 million workers — including hundreds of thousands in the immediate wake of the pandemic when the quick-service restaurant (QSR) industry faced its most severe staffing crisis in a generation. At its peak, HourWork served nearly 10 percent of all Domino's locations and half of all McDonald's locations in the United States, becoming the fastest-growing external application in McDonald's history. Elliott Peranson, a pioneering architect of the National Resident Matching Program, served as an equity holder and advisor to HourWork, and his work on market-clearing design informed the company's thinking on labor allocation.
He was appointed Commissioner for the Future of Work to study the structural impacts of automation, artificial intelligence, and the Internet of Things on the modern workforce. He has served as a prominent co-panelist alongside the sitting United States Cabinet Secretary of Labor and Cabinet Secretary of Education, as well as multiple former State Secretaries of Labor. He also served as Vice Chair and Trustee at Benjamin Franklin Cummings Institute of Technology — a leading provider of stackable credentials for physical labor.
What the 2017 paper called a high-performance labor market intermediary is, in the formal language of market design, a clearinghouse. The institution he was describing already existed as a concept — one with deep roots in financial markets, medical matching, and auction theory. What did not exist was the mechanism, the credential architecture, and the network infrastructure to operate it as a scheduled labor market. The POWER Clearinghouse is the direct implementation of the intermediary that paper argued for. Nine years of methodical engineering, simulation, and industry execution separate the initial paper from the deployed protocol — solving the same fundamental coordination breakdowns, expressed first in the language of labor economics and internal labor markets, and now in the mathematics of mechanism design.
Written in May 2017 as the culminating research project for eminent labor economist Professor Paul Osterman's graduate seminar on Urban Labor Markets and Policy at the Massachusetts Institute of Technology (MIT). Grounded in 42 semi-structured interviews across five enterprise organizations and approximately 62 hours of primary field research, the paper establishes the foundational case for a high-performance labor market intermediary that bundles scheduling priority directly with transferable skill certification. This work uncovers the core operational and organizational insights that ultimately became the mathematical basis for the POWER protocol.
Read the founding paper →The POWER Clearinghouse is a sovereign infrastructure layer operated by Ollie AI, Inc. As an independent administrative entity, the clearinghouse maintains decentralized credential verification infrastructure, manages protocol-wide clearing cycles, and publishes the formal mathematical standard. Future network governance will include an independent industry advisory board and a federated consortium framework as additional institutional operators deploy nodes.
Built upon framework principles originally established at MIT in 2017, the clearing architecture has undergone nine years of continuous algorithmic development, simulation, and enterprise-scale operational validation. The network operates as a neutral utility designed to interface seamlessly with any proprietary workforce platform, legacy enterprise HR system, or external application layer looking to leverage decentralized, bitwise-optimized scheduling priority.
The clearinghouse enforces an uncompromising, mathematical approach to labor allocation. By translating traditional operational coordination failures into the formal prose of mechanism design, all matching cascades run via automated, strategy-proof, and polynomial-time algorithms. The structural properties of the clearing network ensure that participant allocations remain stable, non-renegotiable, and completely insulated from localized platform bias.