Prompt Engineering Projects in IndiaPrompt Engineering Projects in India
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Cover image for PromptOT ā€“ AI Prompts Get
PromptOT ā€“ AI Prompts Get Refined, Versioned, Evaluated & Shipped PromptOT is a prompt management platform designed to help AI teams treat production prompts as production code. It lets teams author prompts in structured, typed blocks, version every change with full history and rollback, evaluate versions against saved test cases across multiple models, and deliver the compiled, variable-driven prompt to their application via a single API call or native MCP integration, with no redeploy required. We built a compilation engine solid enough for production use, an AI co-pilot for conversational prompt editing with inline diffs and scoring, and native support for the tools AI teams already use daily - Claude Desktop, Cursor, ChatGPT, Codex CLI, Windsurf, and Zed. Key Features - Typed Prompt Blocks Semantic Versioning with Rollback Evaluations Across Models API & MCP Delivery AI Co-Pilot for Prompt Editing AI teams often struggle with - Prompts scattered across a Google Doc, a Slack thread, someone's Notion, and hard-coded strings in the codebase No version history, no diffs, no way to know which version is actually live No way to evaluate a prompt rewrite before shipping it to production Legal and brand review happening informally in DMs, if at all PromptOT delivers a single source of truth for every production prompt, shipped by API or MCP. It bridges the gap between prompt experimentation and reliable, production-grade delivery, turning prompts from fragile prose into managed, versioned infrastructure.
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Cover image for Built an immersive fantasy portfolio
Built an immersive fantasy portfolio where every section becomes part of a living world instead of another webpage. Designed the entire experience in @flowstep_ai using Flowstep + MCP (Antigravity). Connected Flowstep MCP with Antigravity, then iterated directly on the canvas using promptsā€”refining layouts, components, navigation, interactions, and the design system without rebuilding screens from scratch. Created reusable design tokens, cinematic UI, glass navigation, parchment components, handcrafted cards, and a consistent visual language across every scene. Once the prototype was finalized, I replicated the entire Flowstep canvas into a Next.js application and polished interactions with modern animation libraries before deploying. The workflow: šŸŒæ Idea ā†’ Prompt Flowstep šŸŽØ Refine with MCP (Antigravity) šŸ§© Build reusable design system šŸ–¼ Iterate every screen on the canvas āš› Replicate to Next.js ā–² Deploy on Vercel šŸ” 9 connected fantasy scenes āœØ 1 immersive portfolio Project link : https://portfolio-6asf.vercel.app/ flowstep link : https://app.flowstep.ai/file?activeFileId=dd5c563d-33a1-4b37-8b24-3669efac9652
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Cover image for 100 ChatGPT Prompts for Instagram
100 ChatGPT Prompts for Instagram & TikTok Creators. After 3 months of testing 200+ ChatGPT prompts for Instagram content creation, I've packaged the 100 that consistently produce professional-quality output. The problem this solves: Most creators get generic AI output because their prompts are too vague. This pack gives you structured prompt formulas that tell ChatGPT exactly what format, tone, length, and structure to produce. 5 SECTIONS: ā–  Section 1: Reels & Video Hooks ā€” 20 prompts āœā–  Section 2: Caption Writing ā€” 20 prompts ā–  Section 3: Stories & Interactive Content ā€” 20 prompts ā–  Section 4: Content Calendar Planning ā€” 20 prompts ā–  Section 5: Hashtags, Bio & Growth ā€” 20 prompts Each prompt includes: ā†’ The full copy-paste prompt ā†’ Expected output description ā†’ A pro tip for best results Works with ChatGPT (free plan) and Claude AI. PRICE: $15 | Instant PDF delivery ā†’ Available on Gumroad https://sahilundhad.gumroad.com/l/vlrfk?wanted=true
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Cover image for AI Startup Pitch Deck & Concept Video
I may have the opportunity to build a start-up sooner than I expected! For months, I've been searching online for a solution like this, and I am genuinely impressed with what I've discovered. To summarise, I created a PITCH DECK (https://online.flippingbook.com/view/916783975/) to present this solution to an investor who has shown strong interest. They have requested that I submit it for the next cohort, so fingers crossed! The challenge has been to ensure that we focus on generating revenue. This took me the longest to figure out. The concept is an API lending and borrowing platform that allows users to avoid paying for API credits that often go underutilised. Borrowers will no longer have to overpay for unnecessary credits. This is a real problem that people face, especially in the AI sector.
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