Skip to content

ANNOUNCEMENT.md

Latest commit

 

History

History
68 lines (45 loc) · 2.71 KB

ANNOUNCEMENT.md

File metadata and controls

68 lines (45 loc) · 2.71 KB

HaleES Architecture Specification — Announcement Pack

1) Short X Post

We just published the public HaleES Architecture Specification.

HaleES is an enforcement-first architecture for governed AI operations: contract-driven execution + dual-layer grading (0–100 evaluation + 0|1 decision).

Open spec, proprietary production runtime boundary.

Patent pending (provisional filed November 2025).

#AI #Governance #Architecture #HaleES

2) LinkedIn Post (Long Form)

Today we’re releasing the public HaleES Architecture Specification.

HaleES is built on a simple belief: in real operations, AI capability alone is not enough. Systems need enforceable decisions, bounded authority, auditability, and clear pass/fail gates.

That is why HaleES is enforcement-first.

What this public release covers

  • A contract-driven execution model
  • A dual-layer grading framework
    • gradient scoring (0–100)
    • binary decision (0|1) using a defined threshold
  • Public governance patterns, examples, and specification docs

What it means in practice

Work is defined by contract, executed by a selected model/tool, graded against explicit criteria, and either finalized (pass) or iterated with feedback (fail). This creates a predictable loop for operational quality.

Open vs proprietary boundary

The architecture specification is public. Production runtime internals remain proprietary.

This release is intended to help teams that need governed AI operations design with clearer control-plane semantics, acceptance logic, and accountability patterns.

Patent pending. A provisional patent application covering the grading and orchestration system was filed in November 2025.

3) GitHub Release Note

Release: Public HaleES Architecture Specification (v1)

This release publishes the initial public specification package for HaleES.

Highlights

  • Defines HaleES as an enforcement-first architecture for governed AI operations.
  • Documents contract-driven execution as the core work loop.
  • Documents dual-layer grading:
    • 0–100 category/global scoring
    • 0|1 binary pass/fail decision at threshold
  • Clarifies open specification vs proprietary production runtime boundary.
  • Includes patent status notice: provisional filing in November 2025.

Included Docs

  • README.md (whitepaper-style architecture overview)
  • CONTRACT-SPEC.md (public contract format + examples)
  • GRADING-RUBRIC.md (scoring and decision semantics)
  • LICENSE.md (AGPL-3.0-oriented scope and boundary)
  • ANNOUNCEMENT.md (launch copy for X, LinkedIn, and release channels)

Notes

This repository shares public architecture and governance specifications. It does not include proprietary production runtime internals.