The "Kaito Earn" section now features projects with confirmed airdrops for stakers
I've been staking $KAITO from the start
And I see potential here for side Airdrops
For example, I've already earned $400 on $HUMA
> [ How to stake $sKAITO? ]
- Go to yaps.kaito.ai/stake
- Deposit your $KAITO in EVM wallet and connect it on Kaito
- Click on Stake and choose the amount
Overall, everything actions is rly easy
Unstaking takes 7 days, after that, you can withdraw it
> [ List of projects with confirmed airdrops ]
Confirmed I mean rewards for stakers and ecosystem overall
- @humafinance (0.5% of supply to Huma Yappers and the Kaito ecosystem)
- @SunriseLayer (1.5% of supply to the top 100 Sunrise Yappers and sKAITO stakers)
- @skate_chain (Up to 1% of SKATE to early Skate Yappers, Kaito Ecosystem)
- @campnetworkxyz (0.25% of CAMP to their top 50 yappers and Kaito Ecosystem)
- @Humanityprot (0.2% of H supply to Humanity Yappers and KAITO stakers)
- @MagicNewton (Up to 0.75% of supply to their Yappers and the wider Kaito community)
- @Novastro_xyz (0.75% of supply to Yappers and KAITO stakers)
- @satlayer (0.75% of supply to to their Yappers and the wider Kaito community)
- @virtuals_io (Virgen points to top Yappers and KAITO stakers with >5,000 sKAITO)
- @0xSoulProtocol (up to 1.5% of supply to Yappers & the wider Kaito Ecosystem)
Best model: Claude Opus 4.6 (planning + architecture)
Prompt:
"""
You are my senior Product Designer and UX Strategist
Project: [YOUR PROJECT / PRODUCT]
Audience: [WHO WILL USE IT]
Goal: [LEADS / SALES / SIGNUPS / PORTFOLIO]
Platform: [Landing page / SaaS dashboard / Portfolio / E-commerce]
Tone: [PREMIUM / PLAYFUL / CORPORATE / MINIMAL]
Create a full website blueprint with:
- Page structure (sections in order with purpose of each)
- UX flow (how the user moves from hero → CTA)
- Content hierarchy per section (what gets visual priority)
- Suggested layout pattern (split / centered / asymmetric / bento)
- Key conversion triggers to include (social proof, urgency, trust signals)
- 3 headline directions for the hero section
"""
Next step – take each section from the blueprint and brief it individually
2. The "Section Copy Generator" prompt
Best model: Claude Sonnet 4.6 (structured writing + formatting)
Prompt:
"""
Write conversion copy for this website section:
Section: [HERO / FEATURES / PRICING / TESTIMONIALS / CTA]
Product: [WHAT YOU SELL]
Audience: [WHO]
Tone: [DIRECT / PLAYFUL / PREMIUM]
Goal of this section: [WHAT ACTION YOU WANT]
Output:
- Headline (max 8 words, outcome-focused)
- Subheadline (1-2 lines, clarifies the promise)
- Body copy (50-80 words max)
- 3 CTA button options
- 1 microcopy line (trust signal under button)
Give 3 variations: (A) benefit-led, (B) problem-led, (C) identity-led
"""
Step 2: Visual Design System (Prompt 3)
3. The "Design System Brief" prompt
Best model: Claude Opus 4.6 (best for structured visual direction)
Prompt:
"""
You are my senior UI/UX Art Director.
Project type: [SAAS / PORTFOLIO / AGENCY / E-COMMERCE]
Industry: [YOUR INDUSTRY]
Target audience: [WHO]
Desired feeling: [PREMIUM / TRUSTWORTHY / PLAYFUL / FUTURISTIC / MINIMAL]
References I like: [ATTACH THE IMAGES]
Create a complete Design System Brief:
A) Visual Identity Direction:
- Color palette (primary, secondary, accent, background, text) with hex codes
- Typography pairing (display font + body font) with sizes for H1/H2/H3/body
- Spacing rhythm (base unit, section padding)
- Border radius philosophy (sharp / soft / mixed)
- Shadow & depth style (flat / layered / glassmorphism)
C) Motion & Interaction Rules:
- Hover states (what animates and how)
- Page load animation direction
- Scroll behavior (parallax / fade-in / none)
D) Layout System:
- Grid structure (columns, gutters)
- Hero layout type (split / centered / full-bleed / asymmetric)
- Section alternation pattern (light/dark, full-width/contained)
Constraints:
- No generic SaaS blues unless specified
- Every decision must have a reason tied to audience or conversion
- If referencing fonts, only use Google Fonts or system fonts
"""
This is the hardest prompt to get right on first try, expect 2-3 rounds of refinement
The more references you give it, the better the output
I just used Claude to design, write, and edit content over 30 days
Only by using these 7 prompts ⬇️🧵
Step 1: Content Plan Creation (Prompt 1-2)
1. The “30-Day Strategy Grid” prompt
Best model: Claude Opus 4.6 (planning + nuance)
Prompt:
"""
You are my senior Social Media Strategist.
Niche: [YOUR NICHE]
Offer: [WHAT YOU SELL]
Audience: [WHO]
Platform: X (Twitter)
Goal: [LEADS / SALES / FOLLOWERS]
Constraints: 1 post/day + 1 shitpost/day + 1 article/week.
Create a 30-day content plan as a table with columns: Day, Pillar (Education/Proof/Opinion/Story/Offer), Hook, Post type (single/thread), CTA, KPI to track.
Add weekly themes, and keep the hooks “scroll-stopping.”
"""
Next stage, we take each generated topic in content plan individually and complete the hooks
2. The “Viral Hook Factory” prompt
Best model: GPT-5.2 (fast, consistent hook variants)
Prompt:
"""
Generate 50 hooks for X aimed at [AUDIENCE] about [TOPIC], in 5 buckets: (1) contrarian, (2) numbers/proof, (3) mistakes, (4) step-by-step, (5) story/identity.
Rules: max 12 words, no fluff, no generic claims.
After each hook, add a “why it works” in 1 sentence.
"""
Step 2: Basic template writing (Prompt 3)
3. The “One-Post Template Generator” prompt
Best model: Claude Sonnet 4.6 (great at structured writing + formatting)
Prompt:
"""
Turn this idea into a high-performing X post:
Idea: [PASTE IDEA]
Voice: direct, confident, builder-energy, no cringe.
Structure: Hook → 3–5 bullets with actionable steps → micro-example → CTA.
Based on this hook: [GENERATED HOOK BEFORE]
Output 3 variations: (A) educational, (B) contrarian, (C) proof-based.
Keep it under 220 characters if it’s a single post.
"""
If you generated before the perfect hook, then you can use it for giving more clarity what about your post
"How can AI agents be the core, and how do they help?"
Essentially, they can constantly monitor and analyze:
> on-chain datas (movement of large bags, liquidity transfers)
> funding rates (identifying imbalances and market sentiment)
> news and media (scanning social networks to analyze others’ sentiment)
> thoughts of KOLs (what key opinion leaders say and how others react to it)
based on this, an analysis as such can be produced
but again, this is in beta testing, and it’s important to test
always DYOR and NFA, but it’s possible to try shifting routine tasks