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Haier (she) 🎩

@haier

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How would Zapier’s ceo rate your ai fluency? He posted a 4-level framework for assessing ai skills across roles and if you work in marketing or product here is your ai scorecard: Marketing 🔴 unacceptable: ignoring ai completely, still running campaigns without any ai-driven research, content generation, or performance analysis. 🟠 capable: using ai to summarise customer stories or write quick content. 🟡 adaptive: running basic ai a/b tests, building prompt libraries. 🟢 transformative: planning campaigns with ai, testing angles, speeding up time-to-launch, building on ai-powered research. Product 🔴 unacceptable: dismissing ai as hype, avoiding experimentation, no ai features in product planning. 🟠 capable: drafting PRDs or story maps with chatgpt. 🟡 adaptive: shipping with a “human-in-the-loop” approach, testing throughput, latency, and accuracy. 🟢 transformative: building ai-first features, launching new monetisation models or pricing tiers based on llm tools.
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Today’s prompts are about nuance. When you want the AI to sound like you, or to tailor content for a specific persona or tone. 3️⃣ Few-shot prompting 🔹 Structure:show 2–5 input-output examples in your prompt 🔹 When to use: for tone alignment, brand voice, nuanced writing 🔹 example: provide: - a few examples of outcomes you want to replicate - your best performing copy or previous top posts "now write 3 more posts in the same style for our campaign in a cheeky and casual tone". 4️⃣ Persona-driven prompting 🔹 Structure: assign the model a specific role to shape tone and style 🔹 When to use: for target audience empathy, objection handling, support 🔹 Example: “act as a skeptical NFT collector. what might stop you from buying this drop? Then, as the project lead, respond to the concern clearly.” https://farcaster.xyz/haier/0x0f19d36e
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Let’s start this series with the basics of prompting: structured prompting & Chain-of-thought (CoT). They give your AI just enough structure and reasoning to avoid guessing and improving the output. 1️⃣ Structured prompting 🔹 structure: break down prompt into role, goal, format, tone, constraints 🔹 when to use: for briefs, copy frameworks (like AIDA or PAS), brand messaging 🔹 example: “write a PAS-style headline for a crypto wallet. problem: losing seed phrases. agitate: causes stress and lost funds. solution: this tool stores and encrypts safely. 2️⃣ Chain of thought (CoT) 🔹 structure: guide the model step-by-step, force reasoning before conclusion 🔹 when to use: for strategy, analytics, content plans 🔹 example: “build a Q3 strategy for a DeFi product. step 1: analyse trends. step 2: segment audience. step 3: define messaging. step 4: suggest platform mix.”
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