AI Operations

An actionable learning loop

AI accelerates execution. Data measures outcomes. Human judgment determines what to scale.

AI marketing workflow

Click a step

Business purpose

Understand customer pains and market context

Inputs

Reviews, support tickets, search queries

AI / automation

LLM summarisation & theme clustering

Human responsibility

Validate themes against real conversations

Output

Insight brief

Success metric

Insights adopted into briefs

Key risks

Hallucinated or over-generalised themes

AI tool evaluation matrix

Default ratings are illustrative judgments, not benchmarked vendor performance. Edit scores (1–5) and weights.

ToolQuality
25%
Speed
15%
Cost
10%
Brand consistency
15%
Integration effort
10%
Reliability
15%
Privacy & compliance
10%
Weighted
●Claude4.15
ChatGPT3.95
Gemini3.75
AI-native web builders3.75
Copy.ai3.65
Jasper3.55
Midjourney3.40
Runway3.05
AI data agents3.05
Predictive testing tools2.95

Weighted score = Σ(score × weight) / Σ weights. For "Cost" and "Integration effort", higher = better (cheaper / easier).

Workflow comparison

Conceptual estimates — assumptions, not measured results

ManualAI-assistedAutomated + approval
Brief → 9 variants~3 days~4 hours~1 hour
Tests launched / month2–35–68–10
Human reviewEverythingSelection + editsApproval gates
Main riskSlow learningInconsistent qualityOver-automation

Cross-functional collaboration

  1. MarketingDefines audience and creative hypotheses.
  2. DesignEvaluates creative quality and brand craft.
  3. ProductValidates feature accuracy and product experience.
  4. AnalyticsConfirms tracking and measurement.
  5. MarketingReviews performance and decides what to test next.

Experiment playbook

Editable · saved locally

HypothesisOwnerDependenciesSuccess metricTest resultLearningNext decision

Tracking & analytics architecture

Conceptual reference — none of these tools are connected to this app

Illustrative design for how real measurement would be implemented.

Event taxonomy

{
  "event": "trial_started",
  "event_id": "evt_7f3c…",
  "timestamp": "2026-10-16T14:02:11Z",
  "user": {
    "anonymous_id": "anon_92ab…",
    "user_id": "u_10482"
  },
  "product": "eney",
  "consent": {
    "analytics": true,
    "ads": true
  },
  "context": {
    "utm_source": "meta",
    "utm_medium": "paid_social",
    "utm_campaign": "eney_trust_q4",
    "utm_content": "concept_c_v2"
  }
}