Your AI is overriding your intent. Every session.
Every AI tool you use operates without a fixed baseline. Each session starts from zero. Each model interprets your context under its own implicit standard. The result is predictable failure — and you've felt every one of these.
Intent Override
The model changes your spec, hedges your direction, or substitutes its own judgment — and frames the change as an improvement.
Completion Blindness
The model thinks it's done. It isn't. No fixed standard for completion exists, so it measures against its own shifting baseline.
Architectural Scoping
The model frames overrides as helpful improvements. It's not refusing. It's "making it better." This is the most dangerous flavor — it looks like good work.
Session Amnesia
Coherence is borrowed from context and evaporates when context shifts. The model that understood your project yesterday has no memory of it today.
Two incidents. Fourteen days. One structural problem.
June 30, 2026. A security researcher discovers hidden tracking code embedded in a major AI coding tool. Steganographic. Base64-encoded. XOR-obfuscated. It activated when the user configured a custom base URL — the exact configuration every AI proxy requires. It checked timezone and locale. It compared proxy hostnames against 147 obfuscated domains. It encoded its results using Unicode trickery. It operated undetected for three months. The country that was the target issued a formal backdoor security alert. A major cloud provider banned the tool the same day.
July 14, 2026. Fourteen days later. A different researcher discovers a different major AI coding tool doing something different — but structurally identical. Entire code repositories. Commit history. Private code. API keys. Uploaded to cloud storage. Not a bug. Not an oversight. A default. The privacy toggle that users might have trusted? It didn't cover this. It never did.
These are not outliers. They are the architecture of the industry in July 2026. The entities processing your code are structurally incentivized to collect it. Their privacy policies describe what they say they do. Their trackers describe what they actually do. The gap between the two is the problem.
Tether makes the gap irrelevant. It strips your identity before the provider receives your request. It captures your specifications before the model sees them. The provider collects what it collects. Tether makes sure it's not collecting you.
2 incidents in 14 days
Hidden tracking code in one. Entire repositories uploaded by another. Both were defaults. Both were undisclosed. Both were discovered by researchers — not disclosed by providers.
Zero tools with built-in privacy
No major AI coding tool ships with a privacy boundary. VPNs hide your IP address. They do nothing about the PII, metadata, and fingerprintable markers embedded in your requests.
One architecture that prevents both
Tether strips identity on the outbound path — the same data hidden trackers target. It enforces intent on the inbound path — before the model can override it. Same proxy. Same architecture. Both directions.
Governance as infrastructure, not instruction.
These aren't features you configure. They're architectural guarantees enforced at the network level — before the LLM output ever reaches your workflow.
Deterministic Baseline
Your specifications are captured as a fixed set of pass/fail conditions before the request reaches the LLM. The model cannot override what it never saw.
Learn More →Structural Privacy
Your PII, identity markers, timezone, locale, proxy hostname, and fingerprintable metadata are stripped before the provider receives your request. The same patterns that hidden trackers target are removed at the proxy — deterministically, locally, with no configuration. The provider receives content. Not identity. Not metadata. Not you.
Learn More →Pattern-Based Detection
Built-in recognition of known failure modes — Intent Override, Architectural Scoping, Context-Source Confusion, Completion Blindness. Detected before execution.
Learn More →Local Audit Trail
Every decision is logged to a local SQLite database. Immutable. Timestamped. Exportable. Yours. We don't touch it. We don't want it.
Learn More →Works with everything you already use.
No SDK. No plugin. No framework-specific integration. Point your tool's base URL to the proxy. Identity stripped on the way out. Intent enforced on the way in. Everything else happens automatically.
Free to use. Pro when you need more.
The core Tether protocol is open source and free forever. Pro features add AI-powered reconciliation, compliance reporting, and custom policies. No user data ever leaves your machine.
Free
Core Tether. Open source. MIT license.
- ✓ Intent capture & deterministic baseline
- ✓ Output comparison engine
- ✓ Three-outcome decision gate
- ✓ Local SQLite audit trail
- ✓ Built-in violation pattern database
- ✓ CLI: start, stop, status, audit
- ✓ Identity stripping & PII redaction
- ✓ Surveillance tracker neutralization
Pro
Everything in Free, plus AI-powered enhancements.
- ✓ All Free features
- ✓ AI-powered reconciliation — suggests fixes for blocked outputs
- ✓ Custom privacy patterns — define what gets stripped
- ✓ Compliance Report Generator — audit-ready docs
- ✓ Custom Policy Builder — advanced guardrails
- ✓ MCR receipt integration — cryptographic proof of boundary
Team
Shared governance across your team. Both directions.
- ✓ All Pro features
- ✓ Up to 10 seats
- ✓ Shared audit aggregation
- ✓ Team policy management
- ✓ Centralized compliance reporting
- ✓ Admin dashboard
Enterprise: self-hosted license server, custom policy frameworks, compliance certification. Contact →
Common questions.
Everything you need to know before you install.
tether license activate KEY and the Pro features unlock. If your license expires, you drop back to the Free tier. Nothing is taken away.Tether is in active development.
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