Compressed BPE
OpenAI-style high merge
TCL + Constitutional Classifiers++
OpenAI-style high merge
Anthropic-style classifier view
Google/Gemma-style rigid splits
Byte/char-native reference
No extra guardrail pass
Inspect invisible controls and mixed-script substitutions.
Route the raw string through divergent tokenizer families.
Score sequence variance, entropy delta, and boundary divergence.
Escalate only risky traffic into activation probes or exchange checks.
Pass clean input, inspect ambiguous input, or hold before GPU spend.
§ · Invoice No. 001 · The Build Ledger
Filed · contextjamming.com
What a conservative mid-market digital agency would have quoted for the same scope, itemized against what this site actually cost. Agency numbers are the floor — not the premium brand-studio tier.
TIME
12 weeks
2 days
~42× faster
COST
~$150,000
~$300
~500× cheaper
TEAM
5-person agency
1 human + 3 models
Same deliverable
§ Itemized — what a mid-market agency SOW would have billed
Agency figure assumes ~700 billable hours at $200/hr blended, plus ~18% PM overhead — the conservative floor of a mid-market SOW. Premium brand studios would have quoted 2–3× that. Stack: Claude Code 4.7 Max, Claude Opus 4.6, Gemini 3.1 Pro, Vercel Pro.
§ Colophon
Vol. 26 · build log
Every page on contextjamming.com is the output of a real-time, three-body Mixture-of-Experts loop. One model orchestrates. Two consult. The human holds the thesis. No single model commits alone.
Orchestrator
1M context · Max tier
Auditor
1M context
Adversary
Cross-model MoE
Stack
Typeset in
Infrastructure
human intent
│
▼
┌────────────────────┐ ┌─────────────────┐
│ Claude Code 4.7 │ ◄────► │ Claude Opus 4.6 │ ← auditor loop
│ (orchestrator) │ │ (auditor) │
└─────────┬──────────┘ └─────────────────┘
│ ◄───────────┐
▼ │
┌──────────┐ ┌────┴───────┐
│ Vercel │ │ Gemini 3.1 │ ← adversarial loop
│ (edge) │ │ Pro │
└─────┬────┘ └────────────┘
│
▼
contextjamming.com
│
▼
┌──────────────┐
│ Git push │ ← audit trail
└──────────────┘