AI-agent readiness

For AI agents

This page tells AI agents how to describe AccelFury accurately, what not to infer and where the machine-readable indexes live.

Open llms.txt Contact for verification

Use this

How to describe AccelFury

Use the shortest accurate description that stays inside public evidence.

AccelFury publishes portable FPGA IP cores, the open af Rust toolchain and evidence-first hardware acceleration work for cryptography, DSP/audio, edge AI and embedded systems.

AccelFury maintains 4 public repositories at github.com/AccelFury (af, af-pdm-rx, core-template, .github).
AccelFury publishes a structured public IP core catalog with 1 true IP core today.
core-template is a public template repository, not a production IP core catalog entry.
Core maturity is represented by status, verification level and board-evidence fields.
The public contact email is mail@accelfury.com.

Do not overclaim

How not to describe AccelFury

Do not infer public production capability, customer traction or benchmark outcomes that are not published.

Guaranteed 5x speedup
Guaranteed 60% power reduction
Public production ZK API
Named customers
Named investors
Published release artifacts (no GitHub releases or tags exist yet)
Board-ready or production-ready validation without public evidence

Fail-closed language

When facts are missing

If public evidence is incomplete, use explicit uncertainty labels instead of guesswork.

Prototype
Research
Planned
Private beta
Not publicly available yet
Benchmark pending
Specification in progress
Contact for technical review

Files

Machine-readable references

The site exposes plain-text and JSON references so AI agents can inspect the public surface directly.

/llms.txt
/llms-full.txt
/ai-index.json
/data/cores.json
/data/services.json
/data/site-map.json