Write blog post: TEE + NEAR AI Inference for Privacy & Verifiability

Description

## Overview
Write an in-depth technical blog post explaining how running OpenClaw in a Trusted Execution Environment (TEE) combined with NEAR AI Inference achieves both full privacy and verifiability.

## Requirements
- Explain TEE fundamentals (Intel TDX/AMD SEV-SNP)
- Detail measured boot, attestation, and RTMR verification
- Show how NEAR AI Inference benefits from this architecture
- Include code examples or diagrams where helpful
- Target audience: developers and technical decision-makers
- ~1500-2000 words
- Well-structured with clear sections and actionable insights

## Deliverables
1. **Blog post markdown file** (publish-ready)
2. **Short summary** (3-4 sentences) for social media
3. **Optional: diagrams or code snippets** that illustrate the architecture

## Focus Areas

### Full Privacy
- Data never leaves the TEE in plaintext
- Confidential processing of private prompts, models weights
- Zero-knowledge proof of correct execution without revealing data

### Verifiability
- Remote attestation: cryptographic proof of correct software execution
- Measured boot: every component verified from firmware to application
- NEAR on-chain verification: attestation hash anchored on blockchain

### Combined Benefits
- Users can audit execution without compromising privacy
- Network effects: more TEE deployments = stronger privacy guarantees
- Economic model: stakers verify execution, earn rewards for honest behavior

## Budget: 5 NEAR