Turn intelligence architecture into a conversion engine.

System Architecture

ClearGlassInc Artemis positions Palantir Gotham as the investigation and entity-tracking layer, Foundry as the data integration and ontology layer, AIP as the copilot/agent/evaluation layer, and Apollo as deployment, rollback, and runtime control. The GTM layer turns that technical posture into campaign assets without fabricating partner names, metrics, or unsupported claims.

Data and Ontology

The campaign ontology mirrors the mission ontology: AudienceSegment, Campaign, ContentAsset, GatedAsset, VisualSpec, EmailStep, Experiment, KPIObservation, and ApprovalRecord. Each asset keeps lineage, version, source prompt, claim review state, accessibility fields, and permission tags.

AI and Agent Design

• Strategy agent: selects focus keyword, audience, CTA, and channel mix.
• Research/evidence agent: flags unsupported claims and requires citations or conservative wording.
• Creative agent: produces blog, social, email, and visual specs in JSON.
• Governance agent: checks accessibility, legal footer, UTM hygiene, brand consistency, and approval gates.
• Optimization agent: proposes weekly prompt/workflow updates from revenue-per-click and conversion evidence.

Self-Improvement Loop

Artemis captures impressions, CTR, landing-page conversion, lead-to-trial conversion, MQL velocity, CPA, LTV uplift, operator edits, rejected claims, accessibility defects, and campaign revenue. Those signals become eval examples and change proposals. Human reviewers approve prompt updates, workflow changes, routing changes, and lead-magnet rotation before deployment.

def propose_campaign_upgrade(metrics, guardrails):
    candidates = rank_by_revenue_per_click(metrics)
    safe = [c for c in candidates if c.claims_verified and c.cta in guardrails.allowed_ctas]
    return create_change_request(
        title="Rotate governed AI threat modeling hero + CTA",
        variants=safe[:3],
        rollback="restore_previous_prompt_pack",
        approval_required=True,
    )

Full-Stack Implementation

The web UI exposes campaign briefs, JSON outputs, visual specifications, experiments, and approval history. The API gateway signs generation requests, enforces brand/policy checks, stores artifacts, and emits events to the analytics pipeline. The retrieval layer indexes prior campaigns, approved claims, keyword results, and gated asset performance.

Security and Governance

The system uses need-to-know permissions for campaign source material, immutable audit logs for AI outputs, policy-as-code for claim safety, and human approval for public release. It supports row, column, and entity-level permissions for coalition-aware material while keeping marketing outputs sanitized and public-safe.

Code Examples

{
  "focus_keyword": "governed AI threat modeling",
  "deliverables": ["blog_html", "social_posts", "keywords", "meta", "email_sequence", "visuals_spec"],
  "approval_gates": ["claim_review", "accessibility_review", "brand_review", "publish_approval"],
  "kpis": {"ctr": {"baseline": "4%", "aggressive": "8%"}, "landing_conversion": {"baseline": "6%", "aggressive": "14%"}},
  "utm_template": "?utm_source={source}&utm_medium={medium}&utm_campaign=artemis_governed_ai_threat_modeling&utm_content={variant}"
}

Scenario Walkthrough

A live campaign event enters through analytics: LinkedIn carousel variant B drives high CTR but low playbook downloads. The optimization agent correlates heat-map scroll depth, CTA copy, and form abandonment. It recommends replacing “Subscribe” with “Claim the governed AI threat modeling playbook,” shortening the form, and rotating the hero from static to animated. A human reviewer approves the CTA test, rejects unsupported performance claims, and deploys the new variant to 20% traffic. If conversion drops or accessibility checks fail, Apollo-style rollback restores the last-known-good campaign pack.

Invoke ClearGlass Insane Blog & Visuals GM with variables: { tone: "executive", cta: "download", length: "long", focus_keyword: "governed AI threat modeling", organization: "ClearGlassInc Artemis", output: "json" }. Return blog_html, social_posts[], keywords[], meta{}, email_sequence[], visuals_spec{}, and iterate{}. Keep claims accurate, include alt text and video transcripts, and require human approval before publication.