The human owner defines intent, scope, permissions, approval requirements, and the interpretation of results. AI tools can contribute research, planning, coding, review, and verification support; they are not assumed to be continuously connected or authorized to act.

HUMAN INTENT
    ↓
INTERPRET / PLAN
    ↓
SELECT SCOPED MODULE
    ↓
PROPOSE → APPROVE → ACT
    ↓
OBSERVE RESULT
    ↓
COLLECT EVIDENCE → VERIFY → RECONCILE STATE

• Intent ≠ action
• Action ≠ successful result
• Result ≠ verified state
• Available model ≠ connected model
• Planned capability ≠ implemented capability

The long-term direction is modular, provider-flexible orchestration. Actual provider availability depends on credentials, API access, compatibility, runtime configuration, cost, latency, and policy.

| Architecture Core | UNKNOWN — current integration state not established here | Source | | Human–AI Memory Bridge | PROPOSED — direction, not a verified shared-memory service | Tool registry |

AMRHZ-AI-13 — latest verified checkpoint (2026-10-19): A controlled Termux/Android test loaded the cached external HuggingFaceTB/SmolLM2-135M-Instruct base model through ModelRuntime; AutoPilot called the real runtime and returned the non-empty response Hello!. The integration test passed, and SHA-256 checks confirmed data/brain_v2.csv and data/autopilot_history.csv were unchanged during that run. Eight targeted runtime/integration/regression tests also passed (8 passed in 0.06s). Important qualification: the returned AutoPilot result still had success: false because the CSV candidate confidence was 50%, below the 60% threshold; that flag currently reflects candidate scoring, not an evaluation of the generated model response. The Termux run required a process-scoped LD_PRELOAD workaround for the tokenizers import issue. Permanent linker remediation, broader evaluation, AMRHZ-owned trained weights, and LIVE status remain unverified. This checkpoint establishes a tested integration path—not a completed or independently trained AMRHZ model.

Termux development workstation — checkpoint (2026-10-20): A read-only environment audit identified installed tools including Neovim, Tree-sitter, clangd, inshellisense, Git, Python, and Node.js. Standard file-watcher commands and several language-server commands were not found through the checked PATH/package queries. This does not prove that equivalent tools are absent elsewhere. Editor integration, shell suggestion behavior, language-server functionality, and file watching remain unverified. No Termux configuration changes were made during this audit. Next: test the discovered tools and inspect the Neovim configuration before installing or changing anything.

These are conservative documentation states, not automatic runtime probes. Re-check the linked evidence before relying on them.

Lifecycle: STABILIZE → VERIFY → CONNECT → EXTEND

One-task loop: INSPECT → MINIMAL SAFE CHANGE → TEST → PASS → CHECKPOINT

• AMRHZ Tool Registry
• Security Policy
• Profile repository commit history

Areas of work: HTML · CSS · JavaScript · TypeScript · React · Python · FastAPI · Flask · Node.js · AI APIs · GitHub Actions · Cloudflare Workers · data and state architecture.

Roadmap direction

• Foundation: establish prototypes, architecture, and reliable engineering checkpoints.
• Current priority: verification, CI integrity, runtime-state validation, and observability.
• Future exploration: bounded task execution, multi-agent coordination, evaluation, memory, and integrations.

These are areas and directions—not a claim that every technology is deployed or connected.

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• GitHub · @amirulhafiz1132002-code