A Complete Architecture for Accountable Computation
"We will not execute what we cannot explain, and we will not explain what we cannot replay."
For fifty years, computing has operated on a broken premise: execute → record → hope. Actions happen. Logs are written. We hope they're accurate, complete, and unmodified.
This worked when computers were tools. It fails when computers are agents—making decisions, moving money, taking actions on our behalf.
LogLine inverts the architecture: record → consent → execute → receipt.
Nothing happens without a prior record of intent. Nothing executes without policy evaluation. Nothing completes without a cryptographic receipt.
A complete protocol suite for verifiable accountability in autonomous systems.
Get started with the LogLine reference implementation in minutes.
git clone https://github.com/LogLine-Foundation/Ethics-is-Efficient.git
cd Ethics-is-Efficient
cargo build --release
cargo test
cargo run --bin logline-resolver
# Verify paper hashes
for f in docs/papers/LogLine_Papers_v1.0.1/*.md; do
echo "$(b3sum "$f" | cut -d' ' -f1) $f"
done
All claims in the LogLine Papers are verifiable through code and benchmarks.
Every paper includes BLAKE3 hashes. Verify the canonical versions:
# Compute hashes for all papers
cd docs/papers/LogLine_Papers_v1.0.1
for f in *.md; do b3sum "$f"; done
# Compare against canonical manifest
cat manifests/canon_v1.0.1.json
Run the complete conformance test suite:
cargo test --all-features
./smoke-test.sh
Reproduce the performance claims:
cargo bench
The 2.3M evaluations/sec (Rust) and 250M evaluations/sec (FPGA) metrics are reproducible in the reference implementation and hardware designs.
The LogLine Papers and reference implementation represent a unique collaboration between human intuition and machine precision. This work demonstrates that ethics and efficiency are not opposing forces—they are complementary aspects of good engineering.
@techreport{logline2026,
title = {LogLine SecurityOS: A Protocol Suite for Verifiable Accountability},
author = {Voulez, Dan},
year = {2026},
month = {February},
institution = {The LogLine Foundation},
version = {1.0.1}
}