Girish Kotte
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gkotte.bsky.social
Girish Kotte
@gkotte.bsky.social
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Built http://foundershub.ai , http://tradershub.ninja , http://promptpro.live ⚙️ AI for Founders, Traders & Prompt Hackers One-man SaaS army. Let’s move fast 💨
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If you want robust automations, repeatable outputs, and team-ready agent workflows, start building with Claude Skills. This is beyond generic prompting - it’s the future of actual digital employees.
Lesson learned: AI only works when you give it expert guidance, structured context, and clear boundaries. Poor prompting gets poor results; agent-based workflows + Skills just deliver.
Real examples at work:
Built a campaign analytics skill that crunches data and reports with ZERO hallucination.
Engineered an A/B test generator using ICE scoring for website experiments.
Created a tweet-to-newsletter Skill to expand viral posts with matching tone - instant repurposing.
Real examples at work:Built a campaign analytics skill that crunches data and reports with ZERO hallucination.Engineered an A/B test generator using ICE scoring for website experiments.Created a tweet-to-newsletter Skill to expand viral posts with matching tone -instant repurposing.
Skills changed the game: Instead of dumping everything into prompts, Skills let me set up markdown instructions, link reference docs, and add executable scripts. No more hallucinations or “context rot” - tasks stay laser-focused, outputs are deterministic.
Agent-driven automation: Sub-agents in Claude break down complex tasks, letting me assign roles to AI “digital employees” for specialized tasks (e.g., frontend, backend, analytics). It keeps every workflow efficient and isolated.
Started with Claude Projects: collaborative workspaces packed with custom instructions, reference docs, and shared memories. Every project gets real guardrails and up-to-date context, so my team stays synced and focused.
Just leveled up my productivity by building a real AI agent army with Claude Skills. Forget “AI magic” hype - this is real automation for teams and creators. Curious how I did it?
👇 (Full process in the thread)
#13. Final thought.
AI isn’t here to replace experts - it’s here to amplify them.
If you treat it like a tool, you’ll get outputs.
If you treat it like a teammate, you’ll build systems.
#12. The 2025 direction.
AI is shifting from “prompt and reply” to “plan and execute.”
We’re entering the era of multimodal reasoning, persistent memory, and integrated workflows.
This is where output turns into operations.
#11. Avoid rookie errors.
– Vague prompts
– No examples
– Accepting first drafts
– Ignoring model settings
– Wrong tool for the job
Every bad AI workflow starts with a lazy prompt.
#10. Treat visuals like text.
AI image tools aren’t “generate once and done.”
They thrive on iteration.
Refine, reupload, edit details - that’s how pros build consistent visual identity.
#9. Compare models - use them strategically.
ChatGPT = reasoning
Claude = creativity
Gemini = research
Run the same prompt across all three, mix the best output.
Model diversity > model loyalty.
#8. Use “project mode” mindset.
One workspace. Multiple files. Ongoing context.
Your AI should know the background of your brand, tone, and goals.
This turns ChatGPT into your second brain, not your search bar.
#7. Build a reusable prompt library.
Save what works. Turn your best workflows into templates.
You’ll spend less time thinking how to prompt and more time executing.
#6. Feed examples - not adjectives.
Don’t say “write persuasively.”
Show it what you mean.
Paste a real example and say “match this tone, but make it 20% more direct.”
AI learns from patterns, not poetry.
#5. Make AI critique itself.
After a draft, say:
“Review your response for clarity, structure, and actionability. Then rewrite it.”
It’s like having an internal editor that never gets tired.
#4. Chain your prompts into pipelines.
Think like a product builder:
Research → Outline → Write → Refine → Polish.
Each step becomes a mini agent in your workflow.
You don’t prompt - you orchestrate.
#3. Always define the role.
“The model” isn’t enough context.
Say: “You’re a SaaS copywriter who’s helped 50 startups scale from idea to $1M ARR.”
It instantly sharpens focus and domain logic.
#2. Break big tasks into smaller calls.
Instead of “Write me a landing page,” try:
1️⃣ Draft the outline
2️⃣ Expand each section
3️⃣ Improve tone for conversions
AI performs best in sequence - clarity compounds with each round.
#1. Treat AI like a workflow, not a chat.
Don’t drop one giant prompt and hope for brilliance.
Guide it like you’d guide a new hire: define context → task → feedback → next step.
Structure beats magic every time.
Stop using AI like a toy. Start using it like a system.
Here’s how to get 10x better results from ChatGPT, Claude, and other AI tools in 2025 - step by step 🧵
Excited to share my feature in The Silicon Review on redefining startup success with AI-driven automation!

Check it out to see how we’re empowering founders and innovators to scale smarter and faster with the power of AI.

Read the story 👇🏻
#AI #Startups #Automation #Innovation #Leadership