Create AI platform Based for software App Development Platform
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted2 hours ago
Project title: Build an AI App-Builder Platform (agentic, natural-language to full-stack apps, websites & software)
Overview
I'm building a web-based AI platform that turns a plain-language description into a working, deployable full-stack application — in the same category as Emergent, Lovable, Replit, v0, Bolt, and Caffeine AI. A user describes what they want in chat, AI agents plan, write, run, and debug the code, the user sees a live preview, and the finished app can be deployed to a URL or exported to GitHub.
I'm looking for a developer or small team to build this end to end. Experience building agentic / LLM-powered products is essential — this is not a standard CRUD web app.
Core scope
Chat workspace where users describe and refine apps in natural language
AI agent engine that plans tasks, writes/edits code, runs it, reads errors, and self-corrects (a working build-test-fix loop)
Secure code execution in isolated per-user sandboxes (e.g. E2B, Daytona, Modal, or similar)
Live preview of the generated app, updating as the agent works
Full-stack generation: frontend, backend, database schema, and auth
One-click deploy to a hosted URL + GitHub export so users own their code
Credit/usage metering and subscription billing (Stripe), with an append-only credit ledger
User accounts, authentication, and multi-tenant project management
Preferred stack (open to your recommendations)
Frontend: React/Next.js + TypeScript, Monaco editor, live preview
Backend: Node.js or Python (FastAPI)
LLM via API (Claude / OpenAI) — no model training required
Managed sandboxes for execution; Postgres, Redis, object storage
Cloud-hosted (AWS/GCP or managed services like Vercel)
Deliverables / milestones
MVP: the core chat → generate → run → self-fix → preview loop for one stack
Deploy + GitHub export
Accounts, billing, credits, multi-tenancy
Additional app types/stacks and polish
Required skills
LLM/agent orchestration, tool-calling, React/Next.js, Node or Python backends, sandboxed code execution, cloud infrastructure, Stripe, Postgres.
Please include in your bid
Relevant work — any AI/agent products or code-generation tools you've built (links/demos)
Your proposed architecture and tech stack in 3–5 lines
A realistic estimate for the MVP milestone, with timeline
Team size and who does what
Budget: [your range] · Timeline: [your target] · Ongoing work likely for the right partner. NDA available on request.
Overview
I'm building a web-based AI platform that turns a plain-language description into a working, deployable full-stack application — in the same category as Emergent, Lovable, Replit, v0, Bolt, and Caffeine AI. A user describes what they want in chat, AI agents plan, write, run, and debug the code, the user sees a live preview, and the finished app can be deployed to a URL or exported to GitHub.
I'm looking for a developer or small team to build this end to end. Experience building agentic / LLM-powered products is essential — this is not a standard CRUD web app.
Core scope
Chat workspace where users describe and refine apps in natural language
AI agent engine that plans tasks, writes/edits code, runs it, reads errors, and self-corrects (a working build-test-fix loop)
Secure code execution in isolated per-user sandboxes (e.g. E2B, Daytona, Modal, or similar)
Live preview of the generated app, updating as the agent works
Full-stack generation: frontend, backend, database schema, and auth
One-click deploy to a hosted URL + GitHub export so users own their code
Credit/usage metering and subscription billing (Stripe), with an append-only credit ledger
User accounts, authentication, and multi-tenant project management
Preferred stack (open to your recommendations)
Frontend: React/Next.js + TypeScript, Monaco editor, live preview
Backend: Node.js or Python (FastAPI)
LLM via API (Claude / OpenAI) — no model training required
Managed sandboxes for execution; Postgres, Redis, object storage
Cloud-hosted (AWS/GCP or managed services like Vercel)
Deliverables / milestones
MVP: the core chat → generate → run → self-fix → preview loop for one stack
Deploy + GitHub export
Accounts, billing, credits, multi-tenancy
Additional app types/stacks and polish
Required skills
LLM/agent orchestration, tool-calling, React/Next.js, Node or Python backends, sandboxed code execution, cloud infrastructure, Stripe, Postgres.
Please include in your bid
Relevant work — any AI/agent products or code-generation tools you've built (links/demos)
Your proposed architecture and tech stack in 3–5 lines
A realistic estimate for the MVP milestone, with timeline
Team size and who does what
Budget: [your range] · Timeline: [your target] · Ongoing work likely for the right partner. NDA available on request.
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