Every tool in the toolbox, navigable by what you do.

Describe an offering — get ad angles + ready-to-test variations for your channel.

In

{ offering, channel?, cluster? }

Out

{ offering_summary, angles[]{angle, why}, variations[]{angle, headline, primary_text, cta}, channel_notes, test_plan[], riskiest_assumptions[], grounded_in, provenance }

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Describe a brand — get a voice & tone guide with do/don't and sample rewrites.

In

{ brand, cluster? }

Out

{ brand_summary, voice_attributes[]{attribute, description, do[], dont[]}, tone_by_context[]{context, tone}, vocabulary{use[], avoid[]}, sample_rewrites[]{before, after}, riskiest_assumptions[], grounded_in, provenance }

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Describe a market — get 2–4 buyer personas with triggers, objections, and channels.

In

{ market, cluster? }

Out

{ market_summary, personas[]{name, archetype, demographics, goals[], pains[], buying_triggers[], objections[], channels[], messaging_angle}, primary_persona, riskiest_assumptions[], grounded_in, provenance }

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Describe a promotion — get a single-minded creative brief.

In

{ campaign, audience?, cluster? }

Out

{ campaign_summary, objective, target_audience, insight, single_minded_proposition, reasons_to_believe[], key_message, tone_and_voice, channels[], success_metrics[], mandatories[], riskiest_assumptions[], grounded_in, provenance }

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Describe a customer win — get a Challenge–Solution–Results case study draft.

In

{ customer_story, cluster? }

Out

{ story_summary, headline, customer_snapshot, challenge, solution, results[], quote, cta, riskiest_assumptions[], grounded_in, provenance }

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Describe a market — get competitor profiles, the whitespace, and differentiation moves.

In

{ market, competitors?: string[], cluster? }

Out

{ market_summary, competitors[]{name, positioning, strengths[], weaknesses[], target}, positioning_axes[], whitespace[], differentiation_opportunities[], threats_to_watch[], riskiest_assumptions[], grounded_in, provenance }

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Describe a brand + goal — get content pillars, funnel mapping, cadence, and topics.

In

{ brand, goal?, cluster? }

Out

{ brand_summary, content_pillars[]{pillar, why, formats[]}, funnel_mapping[]{stage, content_types[]}, cadence, topic_ideas[], distribution[], success_metrics[], riskiest_assumptions[], grounded_in, provenance }

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Know which side of the chasm you're on — and run the playbook that gets you across.

In

{ mode: diagnose|playbook, product, traction? }

Out

diagnose → { stage, stage_evidence[], gear_scores[], weakest_gear, recommended_motion } · playbook → { stage_placement, chasm_diagnosis, beachhead, whole_product_gaps[], bowling_alley[] } — cited to Moore's constructs

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Describe a customer + offering — get a journey map with moments of truth and fixes.

In

{ scenario, cluster? }

Out

{ scenario_summary, stages[]{stage, customer_goal, touchpoints[], emotions, opportunities[]}, moments_of_truth[], gaps_and_frictions[], priority_fixes[], riskiest_assumptions[], grounded_in, provenance }

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Describe a goal — get a lifecycle email sequence, email by email.

In

{ goal, audience?, cluster? }

Out

{ sequence_summary, sequence_goal, emails[]{step, timing, subject, preview, purpose, body_outline[], cta}, success_metrics[], riskiest_assumptions[], grounded_in, provenance }

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Describe your funnel — get an ICE-scored backlog of growth experiments.

In

{ context, cluster? }

Out

{ context_summary, experiments[]{hypothesis, lever, metric, test, effort, confidence, impact, ice_priority}, sequencing[], guardrail_metrics[], riskiest_assumptions[], grounded_in, provenance }

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Describe an offering — get a conversion landing page structure + copy outlines.

In

{ offering, audience?, cluster? }

Out

{ offering_summary, hero{headline, subhead, cta}, sections[]{section, purpose, content_outline[]}, objections_addressed[], primary_cta, riskiest_assumptions[], grounded_in, provenance }

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Describe what you're launching — get objectives, a channel plan, and a phased sequence.

In

{ offering, audience?, cluster? }

Out

{ offering_summary, objectives[], channel_plan[]{channel, role, funnel_stage, first_action}, launch_sequence[]{phase, timeframe, activities[]}, content_ideas[], key_metrics[], riskiest_assumptions[], grounded_in, provenance }

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Describe an offering (+ budget) — get a paid-media plan with channel budget shares.

In

{ offering, budget?, goal?, cluster? }

Out

{ offering_summary, recommended_mix[]{channel, objective, budget_share, rationale, kpi}, flighting, testing_budget, measurement[], riskiest_assumptions[], grounded_in, provenance }

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Describe a brand — get a message house: umbrella message, pillars, proof, boilerplate.

In

{ brand, audience?, cluster? }

Out

{ brand_summary, umbrella_message, pillars[]{pillar, proof_points[]}, boilerplate, elevator_pitch, riskiest_assumptions[], grounded_in, provenance }

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Describe your offer — get a StoryBrand BrandScript, a one-liner, and taglines.

In

{ brand, audience?, cluster? }

Out

{ brand_summary, one_liner, brandscript{character, problem{external,internal,philosophical}, guide{empathy,authority}, plan[], call_to_action{direct,transitional}, success[], failure[]}, taglines[], grounded_in, provenance }

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Describe your business — get a north-star, funnel metrics, and a KPI tree.

In

{ context, cluster? }

Out

{ context_summary, north_star, funnel_metrics[]{stage, metrics[]}, kpi_tree[]{kpi, definition, drivers[]}, guardrail_metrics[], reporting_cadence, riskiest_assumptions[], grounded_in, provenance }

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Describe an offering — get a co-marketing/partnerships plan.

In

{ offering, cluster? }

Out

{ offering_summary, partner_types[]{type, why, example_partners[]}, co_marketing_ideas[], outreach_approach, deal_structures[], success_metrics[], riskiest_assumptions[], grounded_in, provenance }

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Turn any research, transcript, or market notes into structured personas.

In

{ text, sourceId?, title? } — raw text is first-class

Out

PersonaCanonical[] (demographics · psychographics · behaviors · goals · pain points · use cases)

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Describe an offering — get a deliberate market position, statement, and beachhead.

In

{ offering, competitors?: string[], cluster? }

Out

{ offering_summary, positioning_statement, components{target_customer, market_category, competitive_alternatives[], unique_attributes[], value_and_proof[]}, beachhead, riskiest_assumptions[], grounded_in, provenance }

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Describe an announcement — get a PR plan: narrative, angles, outlets, timeline.

In

{ announcement, cluster? }

Out

{ announcement_summary, narrative, story_angles[]{angle, outlet_type}, target_outlets[], spokesperson_points[], assets_needed[], timeline[]{phase, activities[]}, riskiest_assumptions[], grounded_in, provenance }

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Describe an offering — get a pricing model, tiers, and the assumptions to test.

In

{ offering, market?, cluster? }

Out

{ offering_summary, recommended_model, rationale, price_metric, tiers[]{name, who, price_guidance, included[]}, psychological_pricing[], monetization_risks[], riskiest_assumptions[], grounded_in, provenance }

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Describe an offering — get a referral/word-of-mouth program design.

In

{ offering, cluster? }

Out

{ offering_summary, program_type, incentive_structure, mechanics[], triggers[], messaging[], success_metrics[], risks[], riskiest_assumptions[], grounded_in, provenance }

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Describe your churn situation — get a lifecycle retention plan.

In

{ context, cluster? }

Out

{ context_summary, lifecycle_stages[]{stage, goal, tactics[]}, churn_drivers[], retention_levers[], loyalty_mechanics[], success_metrics[], riskiest_assumptions[], grounded_in, provenance }

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Describe a market — get an STP read: segments by need, the beachhead, and a position per segment.

In

{ market, cluster? }

Out

{ market_summary, segments[]{name, description, size_signal, needs[], attractiveness}, recommended_target, targeting_rationale, positioning_angle_per_segment[], riskiest_assumptions[], grounded_in, provenance }

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Describe a topic — get intent-mapped keyword clusters + content briefs.

In

{ topic, cluster? }

Out

{ topic_summary, keyword_clusters[]{cluster, intent, keywords[], content_idea}, pillar_and_clusters, quick_wins[], content_briefs[]{title, target_keyword, angle}, riskiest_assumptions[], grounded_in, provenance }

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Describe a brand — get a posting cadence, content mix, and a one-week calendar.

In

{ brand, platforms?, cluster? }

Out

{ brand_summary, cadence, content_mix[]{type, share, purpose}, weekly_plan[]{day, platform, format, idea}, hashtag_strategy, success_metrics[], riskiest_assumptions[], grounded_in, provenance }

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