No-code appsCAN I VIBECODE
Animam.ai?
BUILD FIRST
- One specific customer type and one primary use case
- A vertical slice that completes the main job without manual workarounds
- Visible limits, review steps, and a fallback when an external dependency fails
LEAVE FOR LATER
- Broad third-party integrations
- High-scale collaboration, syncing, and permissions
- Automation that can cause harm without human review
RESEARCH NOTES
What this tool actually does.
Animam.ai is an API-first, hosted platform for deploying AI-powered conversational agents at scale, targeting agencies, dev shops, and SaaS builders. It supports multi-tenant operation (one account, many bots, pooled conversations), multichannel deployment via an embeddable widget, REST API, voice telephony (Vapi STT/TTS), and MCP. Agents are white-label (no Animam badge, embedded admin console). It supports bring-your-own-key multi-provider models (Claude, GPT, DeepSeek, Kimi, Mistral, Groq, webhook), knowledge-base corpus management with web scraping and file import, and configurable tools such as contact forms, quote generation, meeting booking, and persistent visitor memory. Voice phone answering and agent detection/content policy levels are included. Hosted in France and GDPR-compliant. There is no free signup plan; the free experience is an interactive demo that builds an agent on
RESEARCHED BUILD PROMPT
Give this to your coding agent.
Build a focused replacement for Animam.ai's core no-code conversational-agent workflow: a hosted multi-tenant platform where an agency admin creates a bot, points it at a client website URL, the system scrapes the site into a knowledge corpus, and the bot is embedded on the client site via a single script tag — no developer required. Workflow: signup/login (admin and client views), create bot with BYOK model selection, input target URL, trigger scrape + chunk + index, preview conversations, enable tools (lead capture, meeting booking with calendar link, contact form), generate embed snippet, view per-bot conversation logs and visitor profiles. Technical requirements: Node.js + TypeScript backend; PostgreSQL with Prisma for tenancy, bots, corpus chunks, conversations, visitor key-value memory; Next.js frontend; REST API for bot CRUD and conversation streaming; embeddable ~30KB vanilla JS widget served from your own CDN that calls your API; a web scraper pipeline (e.g., Playwright/Cheerio) with incremental re-sync; an LLM gateway supporting OpenAI-compatible and Anthropic endpoints with BYOK; vector store optional but keep scope minimal (basic keyword retrieval acceptable). Implement one tool — lead capture storing to DB — and stub the booking/payment tools. Do not copy Animam's brand, site design, logo, dashboard layout, or widget look; invent your own naming and neutral UI. Explicitly out of scope: voice telephony, MCP server, WordPress plugin, billing/subscription, payment processing, multi-provider support beyond OpenAI and Anthropic, and embedded admin console. Deliver a README with setup steps, environment variables, BYOK instructions, and known limitations.