| Atlas | ● Production Ready — Orchestrator live on WhatsApp, memory persistent, tender workflow active |
| Hermes | ◑ Live — Quality Testing — First CAG run complete. Pending re-run on qwen3:32b to validate content depth before production use |
| Chronos | ◑ Built — Not Yet Run — SKILL.md complete (13 Mar). Covers PMP, Governance, Team Org + CVs. Next: first live tender run |
| Remaining (5) | Daedalus, Themis, Midas, Athena, Hephaestus, Hestia, Argus — Planned |
Current focus
Validate Hermes output quality on qwen3:32b. Chronos (PMP) built — first live run next. Then Daedalus (Functional Response) to expand coverage.
Long-term vision
A full 9-agent fleet where Atlas reads an RFP and assembles a complete, submission-ready proposal — each section owned by a specialist agent, reviewed before send.
| Processor | AMD Ryzen 9 9950X |
| Graphics Card | NVIDIA RTX 5090 32GB — Gigabyte |
| Memory | 64GB DDR5 6400MHz — KingBank RGB |
| Storage | 2TB Kioxia Gen.4 NVMe SSD |
| Motherboard | Asus TUF Gaming B650-E Wi-Fi 6E |
| Power Supply | Seasonic Vertex PX 1200W 80+ Platinum |
| Cooler | Corsair iCue Link Titan RX 360mm AIO |
| Operating System | Windows 11 Pro 64-bit |
| Network | Personal — off ATT infrastructure |
| Task Type | Routed To | Model | Cost |
|---|---|---|---|
| Chat, coordination, RFP reading | Atlas (Cloud) | Codex · GPT-5.4 | $30/mo |
| Coding, analysis, doc processing | Local LLM (5090) | Qwen3 32B | Free |
| Code generation & refactoring | Local LLM (5090) | Qwen2.5 Coder 32B | Free |
| Quick triage & routing | Local LLM (5090) | Qwen3 8B | Free |
| Model-specific edge cases | OpenRouter | Claude / GPT-4o / others | ~$10–20 credit |
| Skill building, quality review | Claude Max (Gabriel, manual) | Claude Sonnet/Opus | Subscription |
WhatsApp Group
Command centre. One group with Jackie, Sultan, Gabriel, and Atlas. All coordination, status updates, and decisions go through here. Managed via eSIM Bridge ($4.90/mo).
Individual DMs
Each person (Jackie, Sultan, Gabriel) has a separate DM with Atlas for detailed one-on-one work — deep task discussion, private reviews, and context-rich interactions without group noise.
MS Teams
Future plan only. Not included in current PoC — runs off ATT network on personal hardware. May be scoped in once PoC is validated with Jackie.
| Layer | Location | Used By | Notes |
|---|---|---|---|
| Shared memory | Monday.com private doc | Claude Chat, Cowork, Code, Atlas | Human-readable. Read at session start. |
| Local memory | MEMORY.md on 5090 | Atlas | Persistent state across Atlas sessions. |
| Agent rules | AGENTS.md on 5090 | Atlas | "Search memory before acting. Write decisions after every task." |
| Plugin | Supermemory (OpenClaw) | Atlas | Semantic memory retrieval within OpenClaw. |
| Decay | Temporal decay config | Atlas | Half-life: 30 days. Old memories fade over time. |
| Input | Past RFP and ATT submission uploaded as reference |
| Evaluate | Atlas compares submission vs RFP requirements, identifies gaps |
| Draft | Generates improved version based on evaluation |
| Review | PM reviews output and provides corrections |
| Store | Corrections saved to skill memory for next run |
- ✓Unbox and assemble PCAsus A32 case, Corsair AIO, RTX 5090, Kioxia 2TB SSD
- ✓First boot and BIOS checkEXPO enabled — RAM confirmed at 6400MHz. Kioxia 2TB detected. Mobo: Asus TUF B650-E BIOS 3827
- —Activate Windows 11 ProSkipped for now — no key bundled. Will activate when needed.
- ✓Run Windows Update fully
- ✓Install NVIDIA drivers (RTX 5090 — Blackwell)Driver 595.79 — installed via NVIDIA App
- ✓Verify GPU detected and CUDA enabledRTX 5090 confirmed in Device Manager
- ✓Install Ollama v0.17.7 (Windows native)Windows native install, no WSL2
- ✓Pull Qwen3 32BPrimary local fallback — analysis, doc processing, tender drafting
- ✓Pull Qwen2.5 Coder 32BCode specialist — generation, refactoring, debugging
- ✓Pull Qwen3 8BFast triage fallback — ~213 tok/s on RTX 5090
- ✓Install OpenClaw 2026.3.11Windows native + Git for Windows dependency
- ✓OpenClaw onboardingGPT-5.4 primary, WhatsApp allowlist, Brave search API
- ✓Connect Codex OAuthCodex Plus — GPT-5.4
- ✓OpenClaw dashboardFixed — use `openclaw dashboard` to launch with auth
- ✓Configure model routingGPT-5.4 primary → Qwen3 8B → Qwen3 32B fallbacks
- ✓Install gateway serviceVia openclaw doctor --fix — auto-starts on boot
- —Connect OpenRouter API keyDeferred — not priority for now
- ✓Configure embedding providerOllama + nomic-embed-text (274MB) — free local embeddings
- ✓Add Jackie + Sultan to WA allowlistJackie (+6583229171), Sultan (+6593663700)
- ✓Create IDENTITY.mdName, role, emoji, stack, communication style per stakeholder
- ✓Create SOUL.mdCore behavioral rules, boundaries, proactive behavior, continuity
- ✓Create AGENTS.mdSession startup, memory rules, tender work rules, sub-agents, red lines
- ✓Configure MEMORY.md and memory/ directory on 5090Embedding: Ollama + nomic-embed-text, temporal decay 30-day half-life
- ✓Deregister WhatsApp from Mac MiniDone — number freed
- ✓Link WhatsApp number to Atlas on 5090+6598198569 linked via eSIM Bridge
- ✓Atlas first contact + tone calibrationAtlas alive on WA. Tone corrected from corporate to casual colleague. Preference saved to memory.
- ✓Memory persistence verifiedEnd-to-end: user speaks → Atlas adapts → writes memory file → git commits → persists
- ✓WA group policy configuredgroupPolicy: open, requireMention: false. SOUL.md controls listen-first reply behavior.
- ✓Profile picture generatedAI-generated portrait — team voted on final pick. Set as WA profile.
- ✓Create WhatsApp group"Project Atlas" — Jackie + Sultan + Gabriel + Atlas
- —Set up individual DMs with AtlasDeferred — not needed yet
- ✓Upload past tender RFPs as referencePA TACS, PMO CPIB, CAG T3 IIDS — in .openclaw/tender/
- ✓Upload past ATT submissions for format reference06 Technical Proposal + 07 System Design — in past-submission-reference/ per tender
- ✓Build Hermes TechSpec skill — SKILL.md, assets, evalsATT format: Book Antiqua, ATT logo header/footer, cover page, TOC. Evals: 2 iterations, 100% pass
- ✓Tender folder workflow — Atlas auto-discovers, no README neededOutputs auto-saved to tender submission/ subfolder
- ✓First live tender run — CAG T3 IIDS RefreshBoth docs produced (06 + 07), structure correct. Run used gpt-5.4 — model routing fix applied to AGENTS.md
- Re-run Hermes on qwen3:32b — validate content depthFirst run was thin (~32KB). qwen3:32b expected to produce richer, submission-ready output
- Review Hermes output with Jackie — sign off for production use
- ✓Build Chronos — PMP sub-agentSKILL.md, evals (3 test cases), reference docs, Schedule 6 CV template. Not yet run on live tender.
- First live Chronos run — CAG T3 IIDS PMP section
- Build next sub-agent — Daedalus (Functional Response)
ATT Infosoft's AI tender specialist. She analyses requirements, shapes proposal responses, and orchestrates specialist agents for tender development.
ATT's technical design specialist. Give him an RFP and he'll translate it into a submission-ready architecture document — precise, structured, and built to score.
model: field in SKILL.md when spawning a subagent. Hermes's first CAG run used gpt-5.4 (default) instead of ollama/qwen3:32b as intended. Workaround: Atlas must explicitly include the model in the subagent task prompt per the rule in AGENTS.md. Future fix: OpenClaw should apply SKILL.md model: frontmatter automatically at spawn time.