| name | playbook-audacious-content |
| description | Generates an audacious content strategy for brands operating in an AI-saturated market, using Schaefer's Audacity Index, three story pillars, STEPPS virality framework, and Talk Trigger design — with East African cultural adaptation throughout. Invoke this skill when a client's content is competent but forgettable, when engagement has plateaued, when a brand wants to stand out from AI-generated noise, or when a content reset is needed.
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Playbook: Audacious Content
Use when
- Generates an audacious content strategy for brands operating in an AI-saturated market, using Schaefer's Audacity Index, three story pillars, STEPPS virality framework, and Talk Trigger design — with East African cultural adaptation throughout. Invoke this skill when a client's content is competent but forgettable, when engagement has plateaued, when a brand wants to stand out from AI-generated noise, or when a content reset is needed.
- Use this skill when it is the closest match to the requested deliverable or workflow.
Do not use when
- Do not use this skill for graphic design, video production, software development, or legal advice beyond the repository's stated scope.
- Do not use it when another skill in this repository is clearly more specific to the requested deliverable.
Workflow
- Collect the required inputs or source material before drafting, unless this skill explicitly generates the intake itself.
- Follow the section order and decision rules in this
SKILL.md; do not skip mandatory steps or required fields.
- Review the draft against the quality criteria, then deliver the final output in markdown unless the skill specifies another format.
Anti-Patterns
- Do not invent client facts, performance data, budgets, or approvals that were not provided or clearly inferred from evidence.
- Do not skip required inputs, mandatory sections, or quality checks just to make the output shorter.
- Do not drift into out-of-scope work such as code implementation, design production, or unsupported legal conclusions.
Outputs
- A structured markdown document, plan, playbook, or strategy ready for client-facing or internal use.
References
- Use the inline instructions in this skill now. If a
references/ directory is added later, treat its files as the deeper source material and keep this SKILL.md execution-focused.
The Core Problem
AI has commoditised content. Every brand can now produce unlimited captions, blogs, and emails at scale. The result is what Schaefer (2025) calls the "pandemic of dull" — a marketplace flooded with competent, forgettable content that audiences scroll past without a second thought.
The brands that win are those producing content that is genuinely surprising, emotionally resonant, and unmistakably human in origin. AI can assist in production; it cannot create audacious content on its own.
Schaefer, M. W. (2025) Audacious: How Humans Win in an AI Marketing World. Schaefer Marketing Solutions.
Berger, J. (2013) Contagious: Why Things Catch On. Simon & Schuster.
Baer, J. and Lemin, D. (2018) Talk Triggers. Portfolio/Penguin.
Required Inputs
Before generating any output, ask for:
- Client business name and industry
- Country and city (default: Uganda / Kampala)
- Primary audience — demographics, platforms used, and how they currently consume content
- Current content type — describe what the client posts now (formats, topics, tone, frequency)
- Last 5 posts — titles, captions, or summaries to run through the Audacity Index
- Biggest brand taboo — what has the client been afraid to say, post, or do publicly?
Step 1: Audacity Index Assessment
Apply this 10-dimension self-assessment to each of the client's last 5 posts. Score each dimension from 1 to 10.
| Dimension | Score 1 — Safe | Score 10 — Audacious |
|---|
| Originality | Repeats industry wisdom | Challenges a widely held belief |
| Emotion | Neutral, informational | Provokes a strong feeling |
| Surprise | Predictable | Unexpected angle or format |
| Specificity | Generic | Hyper-specific to a person, place, or moment |
| Human voice | Could be AI-generated | Unmistakably human |
| Risk | Zero controversy | Takes a stand |
| Story | No narrative | Has a protagonist, conflict, and resolution |
| Cultural rootedness | Could be from anywhere | Embedded in local context |
| Shareability | Nobody would share this | People will send this to others |
| Proof of Human | No signal | Clear human authorship signal |
Scoring interpretation:
- 10–40: Safe content. Likely to be ignored.
- 41–70: Competitive content. Good but not memorable.
- 71–100: Audacious content. Likely to be shared and remembered.
For each post assessed:
- Record the total score and the two lowest-scoring dimensions
- Identify the pattern across all 5 posts — where does the client consistently score low?
- This pattern is the primary brief for the strategy that follows
Step 2: Three Story Pillars to Disrupt
Develop at least one piece of content under each pillar. For the client's context, go deeper on the pillar that addresses their weakest Audacity Index dimension.
Pillar 1: Contrarian Takes
Challenge the received wisdom in the client's category. Not for controversy's sake — genuinely counter-intuitive insights are remembered because they disrupt the audience's mental model.
Development process:
- List the 5 most commonly repeated claims in the client's industry
- Write the direct opposite of each
- Test which opposites are both true and interesting — discard those that are merely provocative
- Build the selected contrarian take with evidence: data, a case study, or a personal experience
EA examples:
- A Ugandan bank: "Saving money isn't the path to financial freedom." (sets up an investment product angle in a savings-first market)
- A fitness brand: "You don't need a gym to get fit." (directly relevant where gym membership costs 80,000–150,000 UGX/month)
- A logistics company: "Speed isn't what your customers actually want." (reframes the conversation around reliability)
Contrarian Take output format:
- The headline claim (one sentence — the contrarian statement itself)
- Three pieces of supporting evidence
- The audience insight it exploits (why this lands for this specific audience)
- The product or service it opens the door to
Pillar 2: Personal Stakes
Content where the creator or brand has something genuinely at stake — vulnerability, real failure, honest doubt. AI cannot produce this because it has no stake in anything.
Content types:
- A founder post about a genuine mistake and what it cost the business
- A brand post sharing a real customer complaint and exactly what changed as a result
- An employee post about a real challenge faced in their role
EA cultural adaptation:
East African professional culture carries a high respectability norm. Candid self-criticism can read as instability or incompetence if not framed carefully.
Apply the "What I Learned" frame, not the "I Failed" frame:
- "We made a costly mistake with our first warehouse. Here is what it taught us." — not "We failed."
- "A customer told us something we did not want to hear. We are grateful." — not "A customer complained about us."
This framing preserves dignity while delivering the authenticity signal that makes the content human and shareable.
Personal Stakes output format:
- The specific event or moment (be precise — vague vulnerability reads as performed)
- The real cost or consequence (financial, relational, reputational)
- What changed as a direct result
- The "What I Learned" headline for the post
Pillar 3: Collective Effervescence
Content that creates shared experience — events, real-time participation, live moments, community rituals. Schaefer (2025) identifies this as the one thing AI cannot replicate: a human can feel the energy of a room; AI cannot.
Content types:
- Live Q&A sessions where the audience genuinely shapes the direction
- Annual brand events with consistent rituals that audiences anticipate and recognise
- Community challenges with local physical meetups as the culmination
- Content that references a shared local moment — a Uganda Cranes match, a Kampala traffic jam, the Monday morning boda queue, the first rains of the season
EA applications:
- Rolex brand stall equivalent: a food brand's monthly pop-up with a signature item only available at the event
- WhatsApp community live voice notes during a major local event
- A "Friday check-in" ritual post that followers begin to expect and participate in weekly
Collective Effervescence output format:
- The recurring moment or event to build around
- The audience ritual (what they do, not just what the brand posts)
- How participation is made visible (the Public condition from STEPPS — see Step 3)
- How this transfers to content that non-attendees can share
Step 3: STEPPS Virality Analysis
Apply all six conditions from Berger (2013) to the content being developed. For each condition, generate at least one EA-specific application.
S — Social Currency
Sharing must make the sharer look good. Ask: what does sharing this post signal about the person sharing it?
- EA application: "The insider's guide to [local thing]" positions the sharer as knowledgeable and connected. Content about a niche local topic (specific market, emerging neighbourhood, specialist skill) creates social currency for the audience that knows it.
T — Triggers
Connect content to something already present in daily life. The trigger fires recall when the audience encounters the linked moment.
- EA triggers: Monday hustle content, boda-boda navigation (relatable commute), end-of-month salary day, school fees season (January, May, September), rainy season infrastructure challenges, load-shedding routines.
E — Emotion
High-arousal emotions drive sharing. Target: awe, anger, amusement, excitement, inspiration. Low-arousal emotions (sadness, contentment) do not drive sharing at the same rate.
- EA applications: pride in Ugandan or East African achievement (sports, business, innovation), amusement at urban/rural contrasts that are immediately recognisable, awe at East African landscapes or craftsmanship, justified indignation at a shared frustration.
P — Public
Visible behaviours spread. Design participation so it can be seen by others outside the immediate audience.
- EA applications: challenge formats that require a photo with a product at a recognisable location, event check-ins, "spot the sticker" campaigns, WhatsApp status participation prompts.
P — Practical Value
Genuinely useful information people share to help others. The more specific, the more shareable.
- EA applications: how to use Mobile Money safely, how to negotiate at a specific type of market, how to prepare for a government tender process, practical guides to navigating local bureaucracy.
S — Stories
Narrative is the natural container for viral content. The lesson or message rides inside the story; the story is what travels.
- EA applications: local entrepreneur success stories with genuine obstacles — not polished PR versions. Origin stories that include the actual difficulty, not just the achievement.
STEPPS output format:
For each of the six conditions, produce:
- A score from 1–5 for the current content (based on the Audacity Index posts reviewed)
- One specific content idea that would score a 5 for that condition, localised to the client's context
Step 4: Talk Trigger Design
A Talk Trigger is a deliberate, operational differentiator that customers mention spontaneously to others. It is not a campaign or a promotion; it is a repeatable operational act.
A Talk Trigger must be (Baer and Lemin, 2018):
- Remarkable: Surprising or delightful enough to be worth mentioning
- Relevant: Connected to the brand's core service — not a random gift
- Reasonable: Not so extreme it feels fake or unsustainable
- Repeatable: Every customer receives the same experience, consistently
Design process:
- Map the customer journey for this client — identify every touchpoint from awareness to post-purchase
- Identify the moment where delight would be most unexpected (often the moment of delivery, first use, or follow-up)
- Design a small, specific act of generosity or surprise at that moment
- Define exactly what the customer receives, hears, or experiences — no vague gestures
- Test with 20–50 customers before scaling
- Measure word-of-mouth mentions before and after (ask new customers: "How did you hear about us?")
EA Talk Trigger examples:
- A restaurant: every meal arrives with a handwritten note from the chef (two sentences, specific to the dish ordered)
- A telecoms brand: first-time upgrade customers receive a 30-second WhatsApp voice note from a real person — not a bot — welcoming them by name
- A school: parents receive a Friday video (60 seconds) of one specific moment from their child's week
- A logistics company: every delivery includes a printed card with the name of the person who packed the order
Talk Trigger output format:
- The moment in the customer journey selected
- The exact Talk Trigger (described precisely — what the customer experiences)
- Why this is remarkable, relevant, reasonable, and repeatable (one sentence each)
- How word-of-mouth will be measured
Step 5: AI's Role in Audacious Content Production
Explicitly scope AI's role for every audacious content project. This prevents the "pandemic of dull" from re-entering through the production process.
AI is used for:
- Research: finding data, published examples, counter-arguments, and statistics to support the contrarian take
- Drafts: generating first-draft structures and outlines for the human to interrogate, challenge, and transform
- Distribution: scheduling, adapting, and repurposing audacious content across formats and platforms
- Testing: generating headline variants to identify which version of the audacious hook resonates
AI cannot do:
- Generate the genuinely surprising insight (it produces statistically average responses by design)
- Supply the personal stake (it has no experience, no history, and nothing to lose)
- Create collective effervescence (it cannot feel the energy of a room or a moment)
- Design a Talk Trigger that is embedded in a real operational act — only the client knows their operations
Proof of Human signal:
Every high-audacity piece of content must include a deliberate signal of human authorship. This is a content element — not a disclaimer — that could only exist because a human was involved.
Examples of Proof of Human signals:
- A specific date, place, and name referenced in the first sentence
- A personal opinion stated without hedging ("I think this is wrong")
- A photograph taken by the author at the relevant location
- A direct quotation from a real conversation, attributed by first name
Include the Proof of Human signal in the final brief for every piece of content rated 71 or above on the Audacity Index.
Quality Criteria
- The Audacity Index is applied to at least 3 existing posts before any new content is generated, and the assessment findings directly shape the strategy
- At least one Contrarian Take is developed with three pieces of supporting evidence, not stated as assertion alone
- STEPPS analysis covers all 6 conditions with specific EA-localised applications — not generic examples
- The Talk Trigger is designed around a precise, real operational moment; vague concepts such as "better customer service" are not accepted
- AI's role in production is explicitly scoped for the client, distinguishing what AI assists with from what must remain human
- East African cultural context — platforms, triggers, respectability norms, economic realities — is embedded in every framework, not added as a footnote
- Every high-audacity content piece includes a defined Proof of Human signal
- The "What I Learned" frame is applied to all Personal Stakes content to respect EA professional norms
Related Skills
ai-content-humaniser — use for quality control of any AI-assisted drafts before publishing; ensures Proof of Human standards are metplaybook-viral-content-design — use alongside this skill for platform-specific viral mechanics; STEPPS and this playbook are complementaryplaybook-word-of-mouth-strategy — use for the full word-of-mouth and referral programme that a Talk Trigger feeds into
