Product launches require an exhausting list of artifacts: landing page, blog post, demo video, screenshots, social posts (5+ platforms × multiple formats), email sequence, press materials, PH/HN posts. A solo founder used to need 2-3 weeks for this. AI can compress it to 3-5 days — if you delegate the right pieces.
The launch artifact menu
Definitely use AI for:
- Social post variations (LinkedIn, X, Threads, Reddit, IG captions)
- Email subject line A/B candidates
- FAQ section drafts
- Press release first draft
- Demo video voiceover script
- Localized copy for non-English markets
- Comparison tables vs competitors
- Tweet threads from longer content
Mixed AI + heavy human:
- Landing page hero copy (AI variations + you pick + edit)
- Blog post (AI structure + your specific takes)
- ProductHunt / HackerNews title + first comment (high-stakes; AI for variations only)
- Demo screenshots (Flux for backgrounds, you for UI captures)
- Demo video (AI for B-roll, you for screen recording with narration)
Don't use AI for:
- Founder personal launch story
- Specific customer quotes
- Pricing decisions and messaging
- Privacy / terms / security copy
Landing page copy
For the hero section: write yourself. Generate 10 variations to compare against, but the hero is brand-defining and 1-2 sentences shape what visitors think you do.
For below the fold: AI is fine. Feature blurbs, testimonial framings, FAQ, security highlights — all benefit from AI's structuring. Edit for voice but the structure is reusable.
Useful pattern: paste your product brief into Claude or GPT. Ask for 5 different angles to position the product. Pick the angle, then have AI write the section copy, then edit the section copy yourself.
The launch image stack
A modern launch needs:
- Hero image / OG image (Flux Pro or Midjourney)
- Feature thumbnails (Flux variations on a consistent style)
- Social media OG cards per platform (different aspect ratios)
- Demo screenshots (yourself, with cleanup in Figma)
- Optional: animated walkthrough GIFs (Runway or Pika)
For consistency, pick one image model and one style direction. Don't mix Midjourney + Flux + DALL·E in the same launch — the visual styles will clash and feel scattered.
Use Ideogram for any image with text in it (logos, comparison cards, feature labels).
The launch video
For a 60-90 second product demo video:
- Screen recording — yourself, using Loom / OBS. Don't AI-generate UI; it'll be inaccurate.
- Voiceover — script in Claude, voice in ElevenLabs or your own voice via Cartesia clone.
- B-roll for context — Flux + Pika or Runway for any visual that's not screen capture.
- Music — Suno or Udio for custom; Artlist / Epidemic Sound for licensed.
- Captions — Auto-captions via Descript; check accuracy.
- Edit — Descript or CapCut for fast cuts.
For a launch budget of $50-100 in tools, you can produce something that looks like a $5k agency video. Iterate the script multiple times before recording — script quality matters more than visual polish.
Social posts
Platform-specific generation pattern:
Generate posts announcing my product [brief description] for these platforms.
For each, follow the platform's actual conventions:
- X: 280 chars, casual, can use emoji
- LinkedIn: 3-4 short paragraphs, professional, story-led
- Threads: 280 chars, conversational
- Reddit r/X: respectful of the subreddit's rules, no marketing tone
- HN Show HN: factual, short, link in title
- Product Hunt tagline: 60 chars max, punchy
The key: platform conventions differ a lot. AI knows them but only if you remind it. Generic "social post" output sounds wrong on every platform.
The launch sequence email
For email announcement to your existing list:
- Subject line: Generate 20 with AI; pick 2 for A/B; write the winner yourself in final form
- Body: Lead with the one specific thing they care about most; AI is bad at picking this; you decide
- CTA: Specific, low-friction ("Try it free for 30 days" beats "Learn more")
- PS: AI is fine for the PS — usually a community-asks-question or a shoutout
What goes wrong
The everything-sounds-the-same problem. When all your launch copy is AI-generated, the launch reads as low-effort. Audiences have learned to spot AI tells. The artifacts that signal your specific care (founder story, why-now narrative, customer quotes) need to come from you.
The over-polished trap. AI smooths edges. The roughness of a real founder launch is what makes it feel personal. Don't over-edit; some imperfection signals authenticity.
Generic comparison tables. AI will list features but not opinionate. Comparison content that converts says "we do X better, but they do Y better" with confidence. Add the opinions.
Hallucinated features. AI makes up features your product doesn't have. Read every artifact carefully — a fake feature in launch copy creates a customer expectations mismatch you can't recover from.
When NOT to AI-launch
For a launch where the personal story is the product (a memoir-style book, a creator-led brand). The launch IS the founder voice. AI assist undermines what you're selling.
For B2B enterprise with a 6+ month sales cycle. The launch artifacts are read by sophisticated buyers who notice AI tells. Better to invest in fewer, higher-quality artifacts than to flood with AI-generated material.
For regulated industries (healthcare, finance, legal). Compliance review is not optional; AI-generated copy creates compliance risk.
Decision tree
- Bootstrapped solo launch: AI for volume + you for hero artifacts
- VC-backed brand launch: agency for hero + AI for support material
- Quiet community launch: mostly you, AI for variations
- B2B enterprise launch: invest in human-quality, AI for translation only
Next steps
- Build a launch checklist with all artifacts before you start generating
- Pick one image model + one style direction; commit to it
- Read about specific platform conventions for launch posts
- Track which artifacts perform; AI'd ones often underperform — use the data to allocate effort next time