Five Core Virtues
Built on one principle: Auto-Healing. TAI assumes failure is inevitable and ensures data integrity is never compromised.
Auto-Healing & Crash Resilience
A .tai file remains valid up to the last byte—even mid-crash. Zero data loss. Zero corruption. The audit trail survives process kills, kernel panics, and power failures.
How it works:
- Line-by-line parsing ensures partial files are always valid
- No closing delimiters required - truncation doesn't break structure
- Auto-closes unclosed triple-quoted strings gracefully
- Every frame is independently parseable
The Content Shield
Triple-quoted strings protect everything. Your agent can stream code, JSON, YAML, or poetry—nothing breaks the format. Stop fighting escape characters.
What you can include:
- Unescaped quotes, newlines, and special characters
- Complete source code blocks (Python, JavaScript, Rust)
- JSON payloads without escaping
- SQL queries, shell scripts, configuration files
- Multi-paragraph natural language text
Human-Readable Lab Notebook
A regulator can open your .tai file in Notepad and read exactly what the AI decided and why. No proprietary tools. No database exports. Just plaintext transparency.
Benefits:
- Legal discovery ready - no export required
- Version control friendly (Git, SVN)
- Grep-able for quick searches
- No vendor lock-in or special viewers needed
- 50-year archive durability guarantee
Cryptographic Integrity
Ed25519 signatures create tamper-evident chains. Modify one character and verification fails. Provides non-repudiation and chain-of-custody without blockchain complexity.
Security features:
- Rolling hash computation prevents tampering
- Public key infrastructure for identity verification
- Optional frame-by-frame signatures for real-time verification
- No network dependency - works offline
- Batch signature verification for performance
Derived Documents & Export Workflow
Extract agent insights into editable documents while preserving cryptographic provenance. Create reports, papers, and contracts from AI outputs without breaking the audit chain.
Use cases:
- Research reports with AI-generated analysis
- Legal contracts with traceable modifications
- Lab notebooks linking results to raw data
- Executive summaries from agent reasoning
- Reproducible scientific findings