1.1 — AI for Social Media — The Big Picture
Why most social content fails — and how AI changes the equation
AI doesn't just help you write faster — it helps you think more clearly about what your audience actually wants
AI doesn't just help you write faster — it helps you think more clearly about what your audience actually wants. Most content underperforms not because of poor writing, but poor strategy. This lesson covers how to use AI to audit your current approach before you create a single piece of content.
You're running a small UK bakery. Ask AI: 'I want to improve my Instagram content. I post 3 times a week with photos of our products. My engagement is low. Help me think through what might be wrong and what I should change.'
Pay attention to how AI structures its response. Is it giving you something genuinely useful, or something generic? The difference is almost always in the specificity of your prompt — the more context you give, the better the output.
Applying this in practice
The real skill here isn't getting AI to produce something — it's knowing when the output is good enough to use and when it needs refinement. Review everything AI produces through the lens of your specific audience. If it could have been written for anyone, it needs more work.
AI handles the first 80% — structure, vocabulary, volume. You provide the remaining 20% — your specific audience insight, your brand voice, your judgment about what will land. Neither alone produces great marketing.
1.2 — Caption Writing at Scale
From blank page to ready-to-post in minutes
The caption is where most business owners lose the most time
The caption is where most business owners lose the most time. This lesson teaches you to give AI the right briefing — product, audience, platform, tone — and get captions that sound like you, not like a robot.
Pick a product or service you sell. Give AI this prompt: 'Write 5 Instagram captions for [product]. Audience: [describe]. Tone: [your brand tone]. Include one question to drive comments. Keep each under 150 characters.'
Pay attention to how AI structures its response. Is it giving you something genuinely useful, or something generic? The difference is almost always in the specificity of your prompt — the more context you give, the better the output.
Applying this in practice
The real skill here isn't getting AI to produce something — it's knowing when the output is good enough to use and when it needs refinement. Review everything AI produces through the lens of your specific audience. If it could have been written for anyone, it needs more work.
AI handles the first 80% — structure, vocabulary, volume. You provide the remaining 20% — your specific audience insight, your brand voice, your judgment about what will land. Neither alone produces great marketing.
1.3 — Building a Content Calendar
Plan a month of content in one sitting
Ad-hoc posting is the enemy of consistency
Ad-hoc posting is the enemy of consistency. This lesson shows you how to build a full monthly content calendar using AI — theme weeks, content pillars, seasonal hooks, and post variety — in a single working session.
Ask AI: 'Create a 4-week Instagram content calendar for [your business]. Include 3 posts per week. Mix: product spotlight, educational tip, behind the scenes, customer story. Add a seasonal hook for [current month].'
Pay attention to how AI structures its response. Is it giving you something genuinely useful, or something generic? The difference is almost always in the specificity of your prompt — the more context you give, the better the output.
Applying this in practice
The real skill here isn't getting AI to produce something — it's knowing when the output is good enough to use and when it needs refinement. Review everything AI produces through the lens of your specific audience. If it could have been written for anyone, it needs more work.
AI handles the first 80% — structure, vocabulary, volume. You provide the remaining 20% — your specific audience insight, your brand voice, your judgment about what will land. Neither alone produces great marketing.
1.4 — Platform Adaptation
One idea, every platform, in minutes
Your LinkedIn audience is different from your Instagram audience
Your LinkedIn audience is different from your Instagram audience. Your TikTok tone is different from your Facebook tone. This lesson shows you how to take a single content idea and adapt it properly for each platform without starting from scratch.
Take one piece of existing content — a blog post, a product update, anything. Ask AI to adapt it for LinkedIn (professional tone, 300 words), Instagram (visual-first, 100 words, 5 hashtags), and X (punchy, under 200 characters).
Pay attention to how AI structures its response. Is it giving you something genuinely useful, or something generic? The difference is almost always in the specificity of your prompt — the more context you give, the better the output.
Applying this in practice
The real skill here isn't getting AI to produce something — it's knowing when the output is good enough to use and when it needs refinement. Review everything AI produces through the lens of your specific audience. If it could have been written for anyone, it needs more work.
AI handles the first 80% — structure, vocabulary, volume. You provide the remaining 20% — your specific audience insight, your brand voice, your judgment about what will land. Neither alone produces great marketing.
1.5 — Hashtag Strategy and Timing
Making your content discoverable
Hashtags aren't dead — they're just misunderstood
Hashtags aren't dead — they're just misunderstood. This lesson covers how to use AI to research relevant hashtags for your niche, build a tiered hashtag strategy, and think about posting timing for your specific audience.
Ask AI: 'I run a [business type] in the UK. Suggest 20 relevant hashtags I could use on Instagram, split into: 5 niche (small, specific), 10 mid-size, 5 broad. Explain the strategy behind the split.'
Pay attention to how AI structures its response. Is it giving you something genuinely useful, or something generic? The difference is almost always in the specificity of your prompt — the more context you give, the better the output.
Applying this in practice
The real skill here isn't getting AI to produce something — it's knowing when the output is good enough to use and when it needs refinement. Review everything AI produces through the lens of your specific audience. If it could have been written for anyone, it needs more work.
AI handles the first 80% — structure, vocabulary, volume. You provide the remaining 20% — your specific audience insight, your brand voice, your judgment about what will land. Neither alone produces great marketing.
1.6 — Part 1 Exercise — Your Social Media System
Build your repeatable content workflow
Put everything together: audit your current social presence with AI, build a 4-week content calendar, write 10 captions ready to post, and create your platform adaptation workflow
Put everything together: audit your current social presence with AI, build a 4-week content calendar, write 10 captions ready to post, and create your platform adaptation workflow.
Three-part exercise: (1) Paste your last 5 social posts into AI and ask for an honest audit. (2) Build a full 4-week calendar. (3) Take your best-performing post and adapt it for 3 platforms.
Pay attention to how AI structures its response. Is it giving you something genuinely useful, or something generic? The difference is almost always in the specificity of your prompt — the more context you give, the better the output.
Applying this in practice
The real skill here isn't getting AI to produce something — it's knowing when the output is good enough to use and when it needs refinement. Review everything AI produces through the lens of your specific audience. If it could have been written for anyone, it needs more work.
AI handles the first 80% — structure, vocabulary, volume. You provide the remaining 20% — your specific audience insight, your brand voice, your judgment about what will land. Neither alone produces great marketing.