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Tools overview

Updated 2026-04-18

Intelligence tools live inside a project and are organized by workflow layer. This page focuses on what each layer is for and how to choose the next tool.

Credits shown in the product are guidance for planning. Actual run cost depends on run shape, model selection, and output volume.

Scope note (current product scope)

The currently in-scope pipeline includes:

  • Research baseline tools
  • Persuasion baseline tools
  • Pillars and offer generation

Some layer sections below describe broader capabilities that may be enabled progressively by environment or plan.

Use layers as a sequence: research first, then messaging, then creative, then QA and delivery.

Layer 1 — Research and brand intelligence

Use this layer to establish market context, audience understanding, competitor framing, and product/brand inputs.

Best for:

  • New campaigns
  • Repositioning work
  • Entering a new segment or geography

Layer 2 — Persuasion and offer structure

Use this layer to generate hooks, angles, objections, messaging pillars, and offer framing.

Best for:

  • Converting research into messaging
  • Building campaign narrative structure
  • Preparing creative briefs

Layer 3 — Creative concepts and assets

Use this layer for concept generation, script/story framing, and variant exploration.

Best for:

  • Rapid concept expansion
  • Creative test preparation
  • Channel-ready draft direction

Layer 4 — Quality and continuity

Use this layer to check message consistency, compliance posture, and quality before launch.

Best for:

  • Pre-publish QA
  • Offer and landing consistency checks
  • Reducing revision cycles

Layer 5 — Performance and learning signals

Use this layer to read feedback signals and evolve messaging based on outcomes.

Best for:

  • Iterative campaign optimization
  • Detecting fatigue/decay patterns
  • Updating pillars after new evidence

Layer 6 — Funnel and landing structure

Use this layer to map steps, handoffs, and landing-page structure.

Best for:

  • Funnel redesign
  • Offer-to-page continuity
  • Conversion path simplification

Layer 7 — Delivery and scale

Use this layer to package outputs and prepare broader rollout plans.

Best for:

  • Stakeholder-ready delivery packs
  • Channel handoff
  • Scale planning

Practical tips

  • Run upstream research before downstream persuasion/creative tools.
  • If a run fails, copy the tool name exactly as shown in the UI when contacting support.
  • For high-usage runs, review AI model credit rates before rerunning at larger volume.

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