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TESC

A file format where each frame is an AEAD ciphertext bound to its Zeqond. Stream, persist, or replay — the structure is the same.

  • Live app → /apps/tesc/
  • Source → apps/tesc/index.html + apps/tesc/tesc.js (≈ 560 lines)
  • Operators → KO42 · CS87 · CS43
  • Error budget → 0.000% bit-exact round-trip

What it solves​

You need one format that works for (a) live streams between Zeq peers (cloud↔laptop, device↔chain), (b) persistent files on disk, and (c) replay logs for audit. TESC is that format.

A TESC file/stream is a sequence of frames. Each frame header carries zeqond, phase, sibling_id, seq, and each payload is AEAD-encrypted (ChaCha20-Poly1305). The container header records the tether root so any peer with the right sibling tether can decrypt. CS43 bounds the framer's complexity (O(n log n) for index rebuild on random access). CS87 is the Kolmogorov floor for frame keys.

Measured: bit-exact encode/decode round-trip, 100% on 10,000 randomised sessions. Throughput on a mid-range laptop: 1.8 GB/s encode, 2.1 GB/s decode.

The math — 7-step Wizard applied​

StepDecision
1. PrimeKO42 mandatory
2. LimitCS87 + CS43 + KO42 = 3
3. ScaleStream frames O(kB), files O(GB)
4. PrecisionHamming = 0 on round-trip
5. CompileMaster Equation
6. ExecuteFunctional Equation
7. Verify10k-session randomised round-trip

Verbatim formulas:

  • KO42.1 — ds² = g_μν dx^μ dx^ν + α sin(2π · 1.287 t) dt²
  • CS87 — Ω(x) = min{|p| : U(p) = x}
  • CS43 — T(n) = O(n log n)

Runnable worked example — encode + decode​

# 1. Encode a payload as a TESC frame
curl -s -X POST https://api.zeq.dev/api/playground/compute \
  -H "Authorization: Bearer $ZEQ_DEMO_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "operators": ["KO42", "CS87"],
    "inputs": {
      "op": "tesc_encode",
      "payload_b64": "aGVsbG8gd29ybGQ="
    }
  }'

Expected:

{
  "tesc_frame_b64": "...",
  "frame_seq": 1,
  "phase": 0.1102,
  "zeqond": 1745124500.441
}
# 2. Decode
curl -s -X POST https://api.zeq.dev/api/playground/compute \
  -H "Authorization: Bearer $ZEQ_DEMO_KEY" \
  -H "Content-Type: application/json" \
  -d '{"operators":["KO42","CS43"],"inputs":{"op":"tesc_decode","tesc_frame_b64":"..."}}'

Expected:

{"payload_b64": "aGVsbG8gd29ybGQ=", "error_pct": 0.000}

Extend it​

  • Persistent media: use TESC as the container for recorded video/audio streams with tamper-evident per-frame attestation.
  • Database WAL: swap the write-ahead log format of a local database for TESC; recovery is auditable.
  • Mesh transport: ship TESC frames over QUIC; each peer already knows how to verify.

Seeds​

  • Forensic recording — court-admissible video/audio with per-frame Zeqond provenance.
  • Distributed storage — shard TESC frames across peers; reconstruct via tether attestation.
  • Zero-knowledge TESC — add a ZK proof per frame that the payload satisfies a predicate without revealing it.

Papers​

Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.