task/master
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Dataset category · v1Now onboarding pods

Work,
productized.
Outcomes,
orchestrated.

Task Master is an operating system for delivering services as a data-native asset. Every unit of work is an Outcome — priced, subscribed to, routed through AI and human Pods, measured against SLAs, and settled through integrated payments.

Onboard a podRead the schema
06core entities
05systems, federated
∞outcome types
0orphan tasks
§ 01 — Category

A new category of business operations data.

Traditional project managers lack monetization. Freelance marketplaces lack outcome standardization. AI workflow tools lack financial closure. Task Master sits at the intersection — treating work as a standardized, measurable, AI-augmented, financially liquid asset.

I.pillar

Outcome as the atomic unit

Every task is a productized deliverable — priced, SLA-backed, and defined by required inputs. Not a to-do. A contract.

II.pillar

Closed-loop economics

Demand → execution → delivery → payment lives in a single traceable schema. Subscriptions fund Pods. Pods clear Tasks. Tasks release Payments.

III.pillar

Hybrid intelligence, on record

AI suggestions are stored beside human decisions. Every routing path — AI-first, human-first, escalated — becomes training data for the next cycle.

IV.pillar

Federated by design

One logical dataset, physically distributed across Pega, Stripe, Airtable, OpenAI and Webflow. Synchronized via webhooks. Governed as one.

§ 02 — Schema

Six entities. One closed loop.

Demand → Execution → Delivery → Payment.
Fully traceable within a single relational graph.

entity/01atomic unit

Outcomes

Service catalog

  • ·category
  • ·price
  • ·sla_days
  • ·required_fields
entity/02

Subscriptions

Customer commitments

  • ·status
  • ·retry_logic
  • ·outcome_ref
  • ·created_at
entity/03

Tasks

Execution units

  • ·result_json
  • ·ai_suggestions
  • ·pod_id
  • ·sla_deadline
entity/04

Pods

Operational teams

  • ·specializations[]
  • ·max_load
  • ·current_load
entity/05

Payments

Revenue realization

  • ·task_id
  • ·amount
  • ·release_status
  • ·trigger
entity/06

Users

Actor identities

  • ·role
  • ·pod_membership
  • ·email_route
Subscription→Outcome→Task→Pod→QA→Payment
§ 03 — AI-native

Every AI suggestion is a row, not a log line.

Tasks carry ai_suggestions as first-class JSON. Routing logic varies by outcome category, so the dataset captures contextual workflow paths — not just endpoints.

tasks/T-04182.json● routed · human review
{
  "task_id": "T-04182",
  "outcome": "demand_gen/creative_brief",
  "pod_id": "POD-CREATIVE-03",
  "sla_deadline": "2026-07-04T18:00:00Z",
  "ai_suggestions": {
    "draft":     "3 variants generated",
    "tone":      "editorial · confident",
    "confidence": 0.87,
    "flags":     ["needs_human_review"]
  },
  "result": null,
  "payment": { "amount": 240.00, "release": "on_qa_pass" }
}
routing
demand_gen /creative
routing
fin_ops /legal
routing
rev_ops /other
§ 04 — Federated

One logical dataset. Five systems of record.

We don't force best-of-breed platforms into a single silo. Task Master synchronizes across them via webhooks and automation — governed as one dataset, executed where it makes sense.

  • 01PegaOrchestration · SLAs · Compliance⟶
  • 02StripeSubscriptions · Payment cycles⟶
  • 03AirtableTask records · Operator queues⟶
  • 04OpenAIEscalation · AI suggestions⟶
  • 05WebflowFrontend environment⟶
§ 05 — Operational intelligence

Not a repository. An active operational nervous system.

SLA MONITOR

Real-time deadline tracking with automated escalation triggers.

avg. lead: 6h 12m

CAPACITY

Pod load balancing between max_load and current_load.

78% utilization

RETRY LOGIC

Failure recovery patterns embedded in subscription records.

3-tier backoff

AUDIT

Compliance logs, QA execution, encryption key management.

SOC-2 ready

§ 06 — Access

Bring your work.
We'll orchestrate the
rest.

Task Master is currently onboarding operator pods and design partners for closed pilots. If you run recurring, contract-backed services, we'd like to talk.