Prior Art Research: 16 Innovation Screening

16 innovations screened. 16 found structurally novel or defensibly distinct from nearest art.

This analysis was conducted as part of the 8th provisional patent application preparation, covering innovations #1600–#1614 and #1623.


Summary Table

#InnovationPrior Art ConclusionKey Finding
#1600Recipe Popularity Leaderboard per Postal CodeNOT SEENNobody ranks recipes by fulfilled-order-count + unique-recipients per postal code
#1601Recipe Edition (cook x recipe as rated entity)NOT CAPTUREDNobody models cook x recipe as first-class entity with independent reputation
#1602Four-Axis Food Review (taste/flavor/spice/mouthfeel)NOVEL SPECIALIZATIONMulti-dimensional frameworks exist; nobody fixes axes to these four sensory dimensions
#1603Time-Bounded Review Incentive with Internal CurrencyOPENNobody does configurable countdown window after delivery with internal currency reward
#1604Capacity-First Worker-Defined Service ZonesSTRUCTURALLY NOVELAll existing art partitions by demand/geography then assigns workers; nobody lets workers declare capacity first
#1605Three-Tier Cook Redundancy per Recipe per AreaOPENWorker scheduling exists; nobody encodes primary/secondary/backup triple per recipe per geography
#1606Capacity-Filler Cook Role (distinct from originator)DEFENSIBLENobody models a distinct overflow-fulfiller role with per-recipe qualification
#1607Freeze-Dried Meal Buffer with Fixed Overproduction RatioUNCLAIMEDNo fixed overproduction ratio + controlled premium/charity release channels
#1608Distributed Cold-Storage Bounty (household freezers as nodes)UNADDRESSEDAll cold storage art is centralized appliances; no platform role for compensated member freezers
#1609Buffer Inventory Premium + Auto Charitable ReleaseOPENNobody does pre-overproduced buffer into time-bounded premium window then auto charity diversion
#1610Internal Currency Hold-and-Release Staged ConversionDISTINCTEscrow art holds real funds; nobody does platform-internal currency with staged milestone conversion
#1611Charitable Buffer Top-Up for Preorder ShortfallsNOVELNobody uses a capped, time-bounded cooperative pool to fill internal-currency shortfalls on meals
#1612Dual-Use Fulfilled Order Data (leaderboard + load balance)NOT TAUGHTLoad-balancing art is infrastructure-level; nobody dual-purposes fulfilled orders for popularity + initiative balancing
#1613Visual Pipeline with Claimable Bounty SlotsNOT IN ARTSupply chain visualization and self-organizing freelancers exist separately; nobody combines them
#1614Directed Thought ROI in Human-AI CollaborationDISTINCTROI-of-AI-vs-human exists; nobody measures prevented-wrong-implementation cost as directed thought ROI
#1623AI Tuner Role for Multi-Agent TeamNOT IN ARTMulti-agent orchestration exists; nobody defines a first-class human role designation with governance authority

Detailed Analysis

#1600 — Recipe Popularity Leaderboard per Postal Code

Concept: A leaderboard ranking recipes by fulfilled order count and unique recipients per geographic postal code area.

Nearest Art:

  • US 2020-0143437 A1 / US 2024-0127298 A1 — Multi-category restaurant scoring
  • US 2019-0347707 A1 — Restaurant food item recommendation by taste/nutrition

Gap: No prior art uses the specific dual metric of fulfilled order count + unique recipient count for ranking recipes per postal area. Existing systems use general popularity or rating scores, not operational fulfillment data.


#1601 — Recipe Edition (Cook x Recipe Entity)

Concept: A separately rated entity pairing a specific cook with a specific recipe, with independent reputation tracking per cook-recipe combination.

Nearest Art:

  • US 9,552,461 B2 / US 2011-0289044 A1 — Food preparation system with cook coefficient (Harrison)
  • US 2019-0213914 A1 — Kitchen personal assistant with recipe ratings
  • US 10,803,769 B2 / US 2019-0130786 A1 — Recipe player with ratings and social features

Gap: Harrison tracks cook speed/style but doesn’t publish a separate reputation for “this cook’s edition of this recipe.” No system models edition = (recipe_id, cook_id) as a primary key with independent ratings.


#1602 — Four-Axis Food Review

Concept: Taste, flavor, spice, and mouthfeel as four separate rating dimensions replacing single star ratings.

Nearest Art:

  • WO 2024-062495 A1 — Generic multi-dimensional review system
  • US 2020-0143437 A1 — Multi-category restaurant scoring (price, quality, variety, etc.)
  • US 2020-0294102 A1 — Multi-parameter rating graphs/dashboards

Gap: Multi-dimensional rating itself is well covered. Novelty is in fixing axes specifically to taste, flavor, spice, and mouthfeel for food/meal items as the primary sensory dimensions.


#1603 — Time-Bounded Review Incentive

Concept: Configurable countdown window after meal delivery offering internal currency reward for structured review submission within deadline.

Nearest Art:

  • US 2015-0254700 A1 (Google) — Incentivized reviews via purchase proof and mobile payment data
  • UCDC family (US 2021-0326918, WO 2019-190573, EP 3 782 107 B1) — Unified loyalty rewards as digital currency

Gap: Google’s patent focuses on location/transaction verification, not an explicit countdown-style incentive window anchored to delivery completion and structured review format with internal currency budgeting.


#1604 — Capacity-First Worker-Defined Service Zones

Concept: Workers declare production capacity and preferences; zones are defined by worker capacity rather than demand mapping.

Nearest Art:

  • US 2021-0125133 A1 (Vacasa) — Dispatch system scheduling workers into predefined geographic zones
  • WO 2021-106785 A1 / US 2021-0182770 A1 (Coupang) — Camp-level capacity and worker efficiency scheduling
  • US 11,775,937 B2 — Dynamic capacity ranges for workforce routing

Gap: All existing art partitions by demand/geography first, then assigns workers. Nobody lets workers pre-declare capacity and preferred service polygons, with zones constructed from those declarations.


#1605 — Three-Tier Cook Redundancy

Concept: Primary, secondary, and backup cook assignment per recipe per geographic area for production continuity.

Nearest Art:

  • US 2021-0125133 A1 (Vacasa) — Worker tiers and priority scheduling
  • Coupang delivery worker assignment families
  • WO 2025-019660 — Work order management with delegation hierarchies

Gap: No system encodes a primary/secondary/backup cook triple per recipe per geographic area with automatic fallback routing. Redundancy in existing art is implicit, not explicitly three-tiered per item per region.


#1606 — Capacity-Filler Cook Role

Concept: A platform role distinct from recipe originator, where qualified cooks handle overflow coverage across multiple recipes.

Nearest Art:

  • US 9,552,461 B2 (Harrison) — Cook performance profiling
  • Workforce routing/scheduling patents (Vacasa, Coupang)

Gap: Nobody distinguishes between recipe IP originator and overflow production fulfiller as separate platform roles with separate qualification matrices. The separation of IP ownership from production capacity is novel.


#1607 — Freeze-Dried Meal Buffer System

Concept: Fixed overproduction ratio on preordered meals; stored portions released at premium price or charitable donation.

Nearest Art:

  • WO 2022-254089 A1 — Shelf-stable meal packets
  • US 2021-0282599 A1 — Multi-meal cold storage and cooking appliance
  • WO 2022-016039 A1 — Meal share system (ad hoc extra portions)

Gap: No system implements a fixed overproduction ratio tied to preorders with explicit buffer inventory policy and controlled release via premium pricing or charitable routing.


#1608 — Distributed Cold-Storage Bounty

Concept: Platform members operate chest freezers as storage nodes with flat monthly + per-unit-stored variable compensation.

Nearest Art:

  • US 2021-0282599 A1 — Multi-meal cold storage appliance
  • WO 2022-031828 A1 — Automated food storage and meal preparation
  • WO 2023-049126 A1 — Autonomous food preparation machine

Gap: All cold storage art is centralized in appliances or robots. No platform role where members register household freezers as compensated storage nodes in a logistics network.


#1609 — Buffer Premium + Auto Charitable Release

Concept: Automatic price premium on buffer inventory with time-bounded availability window; unsold portions automatically route to charity.

Nearest Art:

  • US 2011-0078050 A1 — Facilitating charitable donations via perishable inventory
  • US 2005-0075933 A1 — Reduced-portion meals with excess to charity
  • US 2008-0005017 A1 — Purchase price bifurcated into merchandise + donation

Gap: Existing art ties charity to the initial sale. Nobody implements buffer-queue semantics: pre-overproduced units enter a premium window, then auto-irrevocably transfer to charity on timeout.


#1610 — Internal Currency Hold-and-Release

Concept: Platform-internal currency reserved at preorder time, not charged until staged conversion at procurement and delivery milestones.

Nearest Art:

  • US 7,734,544 B2 (PayPal) — Multi-currency authorization and capture
  • US 7,464,057 B2 — Multi-currency escrow service
  • US 2023-0130845 A1 — Synchronous settlement engine with escrow
  • US 2025-0156822 A1 — Smart contract escrow on distributed ledger

Gap: All escrow art holds real funds or digital currency at once. Nobody holds a platform-internal currency reservation that is only converted in stages tied to procurement/delivery milestones, with milestone-by-milestone release logic.


#1611 — Charitable Buffer Top-Up

Concept: Cooperative charitable pool fills internal-currency shortfalls on preordered meals, capped and time-bounded per member.

Nearest Art:

  • US 2004-0143491 A1 — Loyalty reward donation to charities
  • US 2013-0226676 A1 — Affiliate purchases funding charitable pool
  • WO 2024-019838 A1 — QR-based product purchase with percentage donation

Gap: Existing charity pools donate on top of completed purchases. Nobody uses a capped, time-bounded assistance pool to fill payment gaps at order time in an internal currency system.


#1612 — Dual-Use Fulfilled Order Data

Concept: Fulfilled order data simultaneously drives a consumer-facing popularity leaderboard and internal platform load balancing across cooperative initiatives.

Nearest Art:

  • US 11,038,952 B2 (eBay) — Connection service discovery and load rebalancing
  • US 11,082,484 B2 (IBM) — Load balancing system with service capability data
  • US 10,574,699 B1 (Amazon) — Load balancer request processing
  • US 2024-0364781 A1 (Google) — Multi-cluster ingress traffic routing

Gap: All load-balancing art routes infrastructure-level traffic (packets, requests, compute). Nobody dual-purposes fulfilled order data for public popularity ranking + cross-initiative cooperative balancing.


#1613 — Visual Pipeline with Claimable Bounty Slots

Concept: Supply chain pipeline diagram with claimable bounty slots showing capacity fill rate and open roles for self-organizing labor.

Nearest Art:

  • US 8,631,021 B2 (Jostle) — Visual organizational roles (filled/unfilled)
  • WO 2024-073505 A1 — Supply chain command platform with digital twin visualization
  • US 2023-0005002 A1 — Automated self-organizing workers with multi-tier incentives

Gap: Existing art does visualization, capacity modeling, and self-organizing groups separately. Nobody combines a pipeline UI with claimable capacity slots as the central worker interaction surface.


#1614 — Directed Thought ROI

Concept: Strategic human prompt cost compared to prevented wrong implementation cost in human-AI collaboration.

Nearest Art:

  • US 2025-0321798 A1 — ROI estimations using prompt processing units (PPUs)
  • US 2017-0060108 A1 — ROI-based automation recommendation
  • Prompt management patents (WO 2024-186549, US 2024-0320476, US 2025-0384330)

Gap: PPU art measures ROI of running model vs. human doing the whole task. Nobody computes a per-prompt “avoided wrong-implementation cost” versus human cognitive cost as a directed thought ROI metric.


#1623 — AI Tuner Role for Multi-Agent Team

Concept: Human director role designation for multi-agent AI team, derived from Crystal Singer operational metaphor for craft-based human-AI collaboration.

Nearest Art:

  • US 2026-0025311 A1 — Multi-prompt/model orchestration for threat mitigation
  • US 2025-0258870 A1 — Prompt self-optimization systems
  • Microsoft prompt development systems (US 2024-0296316)

Gap: Existing art handles automated multi-agent orchestration and prompt refinement. Nobody defines a named human role (“AI Tuner”) with explicit governance authority, responsibilities, and performance metrics for directing a team of AI agents as a craft-like collaboration.


Conclusion

All 16 innovations occupy defensible positions relative to existing patent art. The key differentiation patterns across the portfolio:

  1. Worker-first vs. demand-first (#1604, #1605, #1606) — existing platforms assign workers to demand; Liana Banyan lets workers define capacity
  2. Internal currency staging (#1610, #1611) — existing escrow holds real funds at once; Liana Banyan stages internal currency across milestones
  3. Zero-waste economics (#1607, #1608, #1609) — existing art handles charity as add-on; Liana Banyan builds charitable release into the production pipeline
  4. Human-AI craft collaboration (#1614, #1623) — existing art automates away the human; Liana Banyan elevates human direction as the primary value creator

Prior art research conducted March 2026 by PAWN (Legal Review Agent) For Liana Banyan Corporation — Patent Filing Preparation

FOR THE KEEP.