Dashboard/CI-OS (Second-Brain)/status.md
CI-OS (Second-Brain)

status.md

CI-OS Project Status

Last verified: 2026-07-14

Current Position

CI-OS is an Algolia-first Competitive Intelligence Operating System operated by Argus on Hermes. It is designed to connect three kinds of evidence:

  1. What competitors shipped.
  2. What the market is saying.
  3. What Algolia audiences are responding to.

The target output is an evidence-backed recommendation for Product, Product Marketing, Sales, Content, or executive teams.

Current product completion is approximately 35 percent. The engineering scaffold is approximately 65 percent complete. CI-OS is not launch-ready.

What Has Been Built

  • Hermes extension package and Argus operating model.
  • Multi-tenant competitor and source registry.
  • Source collection and evidence ledger.
  • Product event, conversation, demand, pattern, recommendation, and learning models.
  • Competitor-specific briefs and monitored-competitor views.
  • Product Muscle and demand work queues.
  • Local administration for competitors, sources, product surfaces, demand, and runs.
  • Dashboard renderer and selected browser-validation journeys.
  • 1,251 passing local tests in the latest verified suite.
  • Dedicated cios application user, secure Hermes queue handoff, and delegated cgroup containment.

Current Verified State

Area Status Current evidence
Phase 0 baseline Passed Clean, published CI-OS recovery baseline.
Phase 1 Hermes execution Passed Two consecutive real Hermes runs exited 0 as cios, with no permission error, timeout, orphan work, or ownership drift.
Deployed package Verified Commit 1fa7ac5; immutable archive and rollback-bundle drill passed.
Competitor registry Partial 27 competitors represented.
Source coverage Current Latest Hermes run reports 43 active, 43 checked, and 0 failed sources.
Product reality Partial 12 historical product events; current product-surface extraction is not proven.
Market conversation Present 500 themes and 3 candidate patterns.
Audience demand Blocked No ready GA4 / Looker source; 0 demand signals.
Recommendations Blocked 0 current recommendations because required evidence is incomplete.
Learning Unproven No learning effect visible in the current run.
Production UI In redesign Accepted Product Muscle IA is not yet the live application.
Launch readiness Not ready Fresh run status is blocked_on_evidence; demand and later phase gates remain open.

What Comes Next

  1. Make publication atomic, current-run bound, and safety-validated.
  2. Complete Scout-backed product and feature comparison after the publication gate.
  3. Connect GA4 / Looker audience-demand evidence after its predecessor gate.
  4. Prove one useful cross-plane Argus recommendation and one learning effect.
  5. Build the accepted Argus Read, Product Muscle Matrix, Conversation Heatmap, Demand Lens, Pattern Board, Actions, Registry, Evidence Lab, and Command/Admin workflows.
  6. Complete exhaustive frontend, backend, semantic, accessibility, security, and live-cron validation.
  7. Release a controlled Algolia pilot only after every gate passes.

Next Gate

Phase 2 is active. Every public status and launch result must describe one fresh, complete run; planted stale, mismatched, spoofed, partial-copy, self-attested, and path-leaking cases must fail before one complete run may publish.

Product Muscle, Audience Demand, Argus intelligence, and production UI work remain locked behind their predecessor gates.

Project Records