feat/verifiable ai guide series

content/build/guides/meta.json

@@ -9,6 +9,7 @@
     "crossmint-nft-minting-app",
     "working-with-arns",
     "using-turbo-in-a-browser",
-    "storing-nfts"
+    "storing-nfts",
+    "verifiable-ai"
   ]
 }

content/build/guides/verifiable-ai/immutable-trust-layer.mdx

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+---
+title: "The Immutable Trust Layer"
+description: "Implement a Lambda Architecture for AI logging that creates tamper-proof audit trails for algorithmic liability"
+---
+
+import { Callout } from "fumadocs-ui/components/callout";
+import { Steps, Step } from "fumadocs-ui/components/steps";
+
+## Output and Liability Verification for AI Systems
+
+Learn how to implement a Lambda Architecture for AI logging that streams encrypted evidence and builds analytics indices for complete algorithmic accountability.
+
+## Prerequisites
+
+Before starting, ensure you have:
+
+- **Node.js** (v18 or higher)
+- **TypeScript** knowledge
+- **Arweave Wallet (JWK file)** - We recommend [Wander](https://www.wander.app/)
+- **Turbo Credits** - Purchase credits to pay for uploads. See [Turbo Credits guide](/build/upload/turbo-credits)
+- Completed [The Verifiable Dataset](/build/guides/verifiable-ai/verifiable-dataset) guide
+- Completed [The Signed Model Registry](/build/guides/verifiable-ai/signed-model-registry) guide
+
+## Overview
+
+This guide covers:
+
+- Implementing the Speed Layer for real-time evidence streaming
+- Building the Batch Layer with Parquet indices for analytics
+- Creating tamper-proof audit trails
+- Encrypting sensitive AI outputs
+- Querying historical AI decisions
+- Establishing algorithmic liability frameworks
+
+<Callout type="info">
+Content for this guide is coming soon. Check back later for the complete walkthrough.
+</Callout>
+
+## Summary
+
+By completing this guide series, you've built a complete verifiable AI infrastructure with:
+
+- **Verifiable Datasets** ensuring input integrity
+- **Signed Model Registry** preventing process drift
+- **Immutable Trust Layer** providing output accountability
+
+Your AI systems now have cryptographic proof of their decisions, creating a foundation for enterprise trust and regulatory compliance.

content/build/guides/verifiable-ai/index.mdx

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+---
+title: "Verifiable AI with AR.IO Network"
+description: "Build production-grade verifiable AI systems with immutable data provenance, signed model registries, and tamper-proof audit trails"
+---
+
+import {
+  Database,
+  Shield,
+  FileCheck,
+  Lock,
+} from "lucide-react";
+
+## From Black Box to Glass Box: The Verifiable AI Stack
+
+The challenge with Enterprise AI is not just performance, but **provenance**. Standard cloud storage is mutable, making it difficult to prove exactly which dataset trained a model or what precise state an AI agent was in during a specific incident.
+
+To solve **Algorithmic Liability**, AI systems require an immutable root of trust.
+
+AR.IO Network facilitates this by enabling a **"Glass Box"** architecture:
+
+- **Verifiable Datasets**: Prove the integrity of training data, whether it lives on S3 or directly on Arweave.
+- **Signed Model Registries**: Prevent model drift by verifying weights against on-chain proofs before inference starts.
+- **The Trust Layer**: A "Lambda Architecture" for logging that streams encrypted evidence for liability (Speed Layer) and builds Parquet indices for analytics (Batch Layer).
+
+## What You'll Learn
+
+In this guide series, you will build a production-grade **Verifiable AI Stack** using TypeScript and the Turbo SDK.
+
+<Cards>
+  <Card
+    title="The Verifiable Dataset"
+    description="Learn how to create tamper-proof datasets with cryptographic proofs, ensuring data integrity from S3 to Arweave for AI training."
+    href="/build/guides/verifiable-ai/verifiable-dataset"
+    icon={<Database className="w-6 h-6" />}
+  />
+  <Card
+    title="The Signed Model Registry"
+    description="Build a registry that prevents model drift by verifying weights against on-chain proofs before inference starts."
+    href="/build/guides/verifiable-ai/signed-model-registry"
+    icon={<FileCheck className="w-6 h-6" />}
+  />
+  <Card
+    title="The Immutable Trust Layer"
+    description="Implement a Lambda Architecture for AI logging that creates tamper-proof audit trails for algorithmic liability."
+    href="/build/guides/verifiable-ai/immutable-trust-layer"
+    icon={<Shield className="w-6 h-6" />}
+  />
+</Cards>
+
+Each guide builds on the last, creating a complete verifiable AI infrastructure by the end of the series.
+
+Let's get started.

content/build/guides/verifiable-ai/meta.json

@@ -0,0 +1,9 @@
+{
+  "title": "Verifiable AI",
+  "defaultOpen": false,
+  "pages": [
+    "verifiable-dataset",
+    "signed-model-registry",
+    "immutable-trust-layer"
+  ]
+}

content/build/guides/verifiable-ai/signed-model-registry.mdx

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+---
+title: "The Signed Model Registry"
+description: "Build a registry that prevents model drift by verifying weights against on-chain proofs before inference starts"
+---
+
+import { Callout } from "fumadocs-ui/components/callout";
+import { Steps, Step } from "fumadocs-ui/components/steps";
+
+## Process Verification for AI Models
+
+Learn how to build a signed model registry that prevents model drift by verifying weights against on-chain proofs before inference starts.
+
+## Prerequisites
+
+Before starting, ensure you have:
+
+- **Node.js** (v18 or higher)
+- **TypeScript** knowledge
+- **Arweave Wallet (JWK file)** - We recommend [Wander](https://www.wander.app/)
+- **Turbo Credits** - Purchase credits to pay for uploads. See [Turbo Credits guide](/build/upload/turbo-credits)
+- Completed [The Verifiable Dataset](/build/guides/verifiable-ai/verifiable-dataset) guide
+
+## Overview
+
+This guide covers:
+
+- Creating cryptographic signatures for model weights
+- Storing model metadata on Arweave
+- Verifying model integrity before inference
+- Implementing a model registry service
+- Preventing model drift and tampering
+
+<Callout type="info">
+Content for this guide is coming soon. Check back later for the complete walkthrough.
+</Callout>
+
+## Next Steps
+
+After completing this guide, proceed to [The Immutable Trust Layer](/build/guides/verifiable-ai/immutable-trust-layer) to learn how to create tamper-proof audit trails.