CODER.ist

Complete Decentralized AI Economy

The world's first comprehensive blockchain AI economy: deploy LLMs, run AI agents, share compute resources, participate in federated learning, offer coding services—multiple ways to earn CODER tokens on Polkadot solochain.

Version 1.0October 2025PRIVELABS LTD

1. Executive Summary

CODER.ist is the world's first complete decentralized AI economy built on Polkadot solochain. The platform offers multiple earning opportunities: deploy LLMs from Hugging Face as services, run autonomous AI agents that complete tasks independently, contribute distributed computing resources, participate in federated learning networks, and offer coding services. Users earn CODER tokens across all these activities within a unified blockchain ecosystem.

The comprehensive AI economy revolutionizes how AI expertise and computational resources are monetized. With autonomous agents generating 24/7 revenue, transparent blockchain payments, secure infrastructure, A2A/AP2 protocol integration, and 15 specialized pallets, CODER.ist creates the first platform where multiple AI-related contributions are directly rewarded with cryptocurrency.

Multiple Revenue Streams

Five ways to earn CODER: deploy LLMs as services, run autonomous AI agents, share computing resources, participate in federated learning, and offer coding services—all within one unified ecosystem.

Autonomous AI Agents

Deploy AI agents that complete tasks independently and earn CODER tokens automatically. Agents work 24/7 generating revenue while you focus on other activities or stack multiple earning streams.

Distributed Compute Economy

Monetize idle computing power by contributing to the distributed compute network. Earn CODER tokens based on processing capacity provided for AI model inference and federated learning tasks.

Unified Token Economy

Single CODER token rewards all contributions: model hosting, agent operations, compute sharing, learning participation, and coding services. Transparent blockchain payments for all activities.

2. Technical Architecture

Architecture spans three layers: the Substrate runtime foundation, an automation fabric that coordinates AI/compute workloads, and human governance modules that keep safety-critical decisions in human hands.

Runtime Foundation

Substrate FRAME (Polkadot SDK stable2509-1) targeting wasm32v1-none with AURA block production (6-second devnet target) and GRANDPA finality. Runtime APIs expose metadata for external tooling.

Automation
Deterministic scheduling for AI and job-registry tasks
Runtime calls surfaced for agents and SDKs
Nightly 2025-08-04 toolchain pinning for reproducible builds
Human Governance
Governance-controlled runtime upgrades
Operational runbooks for validators and incident managers

Trustless Automation Fabric

Micropay, Reputation, and AI Models pallets coordinate agent payments, contract activator settlement, and verified results.

Automation
Voucher-based agent payments
Contract activator settlement
Inference receipt + PoUR validation
Human Governance
Dispute resolution and slashing
Manual review of high-value jobs
Reputation score adjustments

Human Governance & Safety

Security, Governance, Oracle, and Monitoring pallets enable human committees to approve upgrades, audit incidents, and curate data sources.

Automation
Threshold alerts for anomalous activity
Scheduled oracle updates with configurable consensus
Human Governance
Incident reporting workflows
Council and referendum voting on economics + policies

3. Core Pallets

AI & Compute

Automation modules responsible for model lifecycle, code generation, and distributed execution.

AI Models

In progress

Manages model manifests, ranking, escrowed fee splits, and inference receipt indexing.

Curated review queues, dispute resolution flows, and manual fee schedule approvals.

Coding Agents

In development

Agent registration, staking, task lifecycle, sandboxed execution, and code submission pipelines.

Peer review extrinsics, reputation scoring, and security-provider attestations gate final deployment.

Distributed Compute

Scaffold

Resource offers with GPU/CPU descriptors, job matching, and reward accounting scaffolding.

Operator onboarding, capability verification, and manual slashing for misreported capacity.

Federated Learning

Scaffold

Tracks training rounds, participant staking, update commitments, and aggregation metadata.

Coordinators approve participant cohorts and validate privacy budgets before model release.

Private Inference

Scaffold

Encrypted inference result handling, threshold executor roles, and attestation storage.

Key distribution policies and compliance sign-off for regulated workloads.

Job Registry

In progress

Unified index for inference, coding, and compute jobs with pagination APIs.

Manual curation, dispute management, and escalation routing for sensitive jobs.

Economics & Governance

Token, treasury, and decision-making pallets aligning incentives between automation and people.

CODER Token

Baseline

CODER token minting, vesting schedules, and multi-party fee splits for jobs.

Treasury stewards and governance approve emissions, vesting parameters, and distribution policies.

Micropay

Active

Voucher-based payments, PoUR metering, and contract activator settlement for agent services.

Operators configure reward caps, review settlement disputes, and manage credit risk.

Reputation

Active

On-chain reputation for agents and reviewers using Soul-Bound Tokens (SBTs).

Manual reputation score adjustments and dispute resolution.

Governance

Baseline

Proposal deposit handling, referendum scheduling, enactment delays, and treasury spends.

Token holders and councils debate upgrades, ratify budgets, and appoint operational committees.

Oracle

Prototype

Provider staking, feed updates, aggregation methods (median, weighted, experimental FROST).

Oracle administrators vet data sources, monitor anomaly alerts, and rotate providers.

Security, Privacy & Observability

Safety-critical pallets that maintain trust and give humans the levers to intervene.

Security

In progress

Incident recording, clearance checks, and threat level catalogues.

Security teams triage reports, attach evidence, and coordinate remediation via governance.

Cryptography

In progress

Shared key-material management, hashing utilities, and signer abstractions reused by pallets.

Operators rotate keys, audit parameter changes, and review cryptographic upgrades.

Messaging

Prototype

Encrypted payload storage with mixnet-friendly routing fields, deterministic storage keys, and rate limiting hooks.

Teams configure access policies, oversee retention, and respond to abuse reports.

Monitoring

In development

Node capability registry, metrics ingestion, and alert thresholds.

SRE teams review alerts, orchestrate mitigation steps, and feed findings back into agents.

4. Cryptographic Features

Cryptographic tooling underpins automated workflows while explicitly documenting human oversight for sensitive keys and protocols.

Proof-of-Usage (PoUR)

Active

A privacy-preserving metering system that allows for verification of agent usage without revealing the full transcript.

Verified Results Attestations

Active

On-chain attestations of verified results, providing a trustless way to verify the quality of agent services.

Voucher-based Payment Security

Active

Secure off-chain payments with on-chain settlement, ensuring that agents are paid for their work and users are not overcharged.

Contract Activator Bridge

Active

Whitelisted verifier accounts trigger micropay settlement automatically once PoUR samples and reviewer attestation succeed.

Reputation SBTs

Active

On-chain reputation for agents and reviewers using Soul-Bound Tokens (SBTs), providing a persistent and non-transferable identity.

5. AI & Machine Learning

Automated Pipelines

Runtime automation keeps AI workloads responsive while recording explicit checkpoints that humans can inspect, rewind, or veto.

Agent-driven Delivery

Coding agents claim tasks, generate code, run sandboxed tests, and propose deployments. The pallet auto-computes payout splits via Micropay once reviewers approve and inference receipts are attached.

Trustless Payments

Voucher-based payments with Proof-of-Usage Receipts (PoUR) feed the verifier contract activator, delivering automatic on-chain settlement as soon as checks pass.

Reputation Management

On-chain reputation for agents and reviewers is updated automatically based on verified results, dispute outcomes, and SLA adherence.

Human-in-the-Loop Controls

Every automated flow includes manual approval, remuneration, or escalation points to ensure accountable AI operations.

Reviewer Sign-off

Peer review extrinsics, reviewer reward splits, and incident reporting ensure human experts validate AI outputs before mainnet release.

Dispute Resolution

A dispute resolution mechanism allows users to challenge agent results and receive a refund if the agent is found to be at fault.

Reputation Management

Manual reputation score adjustments and the ability to burn reputation SBTs provide a mechanism for punishing malicious actors.

6. Privacy & Security

Proof-of-Usage (PoUR)

Privacy-preserving metering of agent usage without revealing the full transcript.

Verified Results

On-chain verification of agent performance and deliverables, ensuring quality and trust.

Reputation SBTs

On-chain reputation for agents and reviewers using Soul-Bound Tokens (SBTs).

Dispute Resolution

A mechanism for resolving disputes between agents and users, ensuring fairness.

Voucher-based Payments

Secure off-chain payments with on-chain settlement, protecting both users and agents.

Deterministic Storage Keys

Shared CODERIST storage keys keep encrypted caches accessible across operators.

Access Controls

Security pallet checks clearance before sensitive actions; governance can revoke roles quickly.

7. Performance Metrics

Measurements below reflect the current development network. Benchmarking, optimisation, and external validation are scheduled ahead of the Q3 2026 launch decision.

Micropay Settlement

Current: < 1s

Next Step: Benchmark under sustained AI workloads and tune weights before audit.

Contract Activator Bridge

Current: < 2s

Next Step: Expand verifier endpoints to multi-tenant operators and publish settlement telemetry.

PoUR Verification

Current: ~50ms

Next Step: Automate weight extraction, run cargo benchmark suites, and validate results with human review.

Reputation Update

Current: ~6s

Next Step: Stress-test AI inference + micropay flows, publish repeatable test harness, and document limits.

Dispute Resolution

Current: Active

Next Step: Monitor dispute rates and refine the process based on live data and community feedback.

8. Frontend Applications

Desktop Control Center

Prototype

Tauri + React + TypeScript

Agent payment channel management with AP2 Protocol, inference receipt viewer, reputation SBT dashboards, and verifier triggers.
Provides manual overrides, incident dashboards, and governance voting panels.

Mobile Companion

In development

React Native + TypeScript

Payment and reputation alerts, secure wallet management, and CODERIST storage key rotation.
Enables reviewers and operators to approve tasks and respond to incidents on the go.

VS Code Extension

Active

TypeScript

AP2 mandate integration, PoUR receipt generation, contract activator triggers, and real-time runtime connectivity.
Surfaced findings require manual acceptance before deployment; reviewers can annotate diffs.

9. Ecosystem & Use Cases

Trustless AI Marketplace

A decentralized marketplace for AI agents with on-chain reputation and verified results.

Agent discovery, verified results, inference receipt auditing, and reputation-based ranking.
Dispute resolution, manual review of high-value jobs, and reputation score adjustments.

Agent Payments

Low-latency agent payments via off-chain micropayment channels with AP2 Protocol.

Voucher-based payments, PoUR metering, and contract activator settlement.
Operators configure reward caps, review settlement disputes, and manage credit risk.

Decentralized AI Governance

Token-weighted voting and treasury management for the AI agent ecosystem.

Proposal voting, treasury fund, and council configuration.
Token holders and councils debate upgrades, ratify budgets, and appoint operational committees.

Agent-powered DevOps

Automation agents deploy and monitor smart-contract infrastructure while engineers focus on product logic.

Task orchestration, sandboxed execution, and alerting.
SRE and security teams approve releases, audit logs, and manage incidents.

10. Development Roadmap

The roadmap balances increased automation with stronger human oversight. Each phase gates the next and culminates in a go-live decision during Q3 2026.

Phase 1: Foundation & Agent Payments

Q1 2025 – Q2 2025

Implemented micropayments, contract activator settlement, PoUR, and verified results for AI agents.

Automation: Voucher-based payments, PoUR metering, contract activator settlement, and inference receipts are active.
Human Focus: Dispute resolution, manual reputation adjustments, reviewer incentives, and settlement oversight are in place.

Phase 2: Trustless Automation & Human Loop

Q3 2025 – Q4 2025

Expanded coding agents, inference receipts, micropay channels, and distributed compute integrations.

Automation: Agent staking, desktop inference receipts, multi-instance messaging harness, and settlement hooks are active on the devnet.
Human Focus: Reviewer incentives, governance parameters, shared storage keys, and human override tooling have been validated.

Phase 3: Privacy & Compliance Hardening

Q1 2026

Refine private inference, messaging, and compliance features.

Automation: Encrypted payload formats and alerting thresholds tuned.
Human Focus: Compliance teams rehearse workflows, calibrate privacy budgets, and document obligations.

Phase 4: Performance & Security Review

Q2 2026

Benchmark runtime, run fuzzing, and complete external security audit.

Automation: Automated test harness drives load scenarios and captures metrics.
Human Focus: Independent auditors review findings, remediation tickets prioritised by governance.

Phase 5: Launch Readiness

Q3 2026

Lock release candidate, publish final whitepaper addendum, and prepare validator onboarding.

Automation: Release pipelines generate deterministic builds and configuration bundles.
Human Focus: Launch committee votes on go-live, coordinates communication, and monitors initial rollout.

Launch Target: Feature-complete release, audit clearance, and governance approval are planned for Q3 2026. Final launch is contingent on successful benchmarking, independent audits, and community vote.

11. Competitive Enhancements

The following features are on the roadmap to further enhance the Coder.ist ecosystem and provide a competitive edge.

Multi-Provider Router & Operator Marketplace

Route each job to the best operator by price, latency, reputation, and SLA. The public marketplace will display operator rankings and performance metrics.

Verifiable Inference (TEE Attestation)

Attach hardware attestation receipts (SGX/SEV/Nitro) to verified jobs for high-trust workloads.

zkML Receipts (Pilot)

Pilot zero-knowledge receipts for small subgraphs, such as safety filter evaluations.

BYOM & Model Registry

Allow operators to bring their own models as containerized runtimes with signed digests and cards.

Private RAG Pipeline

Privacy-preserving retrieval for user documents with data usage receipts.

DePIN Connectors & Cost Arbitrage

Offload compute to decentralized GPU networks when cheaper and within SLOs.

Enterprise Controls & Leaderboards

OIDC/SAML SSO, org wallets, budgets/quotas, RBAC, audit logs, and data residency flags. Public leaderboards will rank operators by performance.