Gravity - Build AI Agents Faster — Automate Without Coding
by•
GravityAI4U helps startups build AI employees — not just chatbots.
GravityAI4U enables startups to build AI agents that automate real business work — customer support, scheduling, lead capture, and operations. Connect APIs, databases, and workflows visually without complex coding. Launch faster, reduce costs, and scale with an AI-powered digital workforce.
🚀 Try GravityAI4U and start building your AI team today.
Replies
Hi Product Hunt 👋 — I’m Praveen, founder of GravityAI4U.
We built Gravity because many startups want AI automation but struggle with complex tools, high engineering costs, and long development timelines.
Gravity helps founders create AI agents, automate workflows, and connect APIs visually — without heavy coding. From demo booking assistants to customer support agents and internal automation, teams can launch faster and scale smarter.
We are a bootstrapped startup built with real startup use cases in mind, and your feedback means everything to us.
👉 Would love to know:
• What AI workflow would you automate first?
• Which feature matters most for your startup?
Thanks for checking us out — excited to hear your thoughts 🚀.
Cool approach to the agent building workflow. Curious about something, when you say "customer support" agents, are those embeddable on client sites or more internal-facing? I'm building in a similar space (AI chat for web agencies) and the biggest thing I keep hearing is that agencies want something they can white-label and drop on client sites in 5 min. Would love to know how you're thinking about that use case.
Thanks @cuygun — great question 👌 and love that you're building in this space as well.
When we say “customer support agents,” we’re designing Gravity to support both use cases:
1️⃣ Embeddable agents for client-facing websites (widget-style, white-label friendly)
2️⃣ Internal AI agents for ops, CRM workflows, and support teams
We’re seeing the same signal you mentioned — agencies want something they can spin up quickly, brand as their own, and deploy in minutes without heavy setup.
Our approach is to make the agent logic modular:
– Visual workflow builder
– API & knowledge base integrations
– Multi-channel deployment (web, Telegram, etc.)
White-label + quick embed is definitely a priority use case for us.
Curious — are agencies you’re speaking with more focused on lead capture, support automation, or full conversational AI replacement?
Would love to exchange notes 🚀
@praveenkps, Mostly lead capture and support automation, those two are the easiest sell to clients. Full conversational AI is harder to pitch to a local bakery. We went embed-first with TalkBuildr for that reason, knowledge base + script tag and you're live in minutes. How are you handling the handoff between AI and human support in the workflow builder?
@cuygunThat makes a lot of sense — lead capture + support automation is definitely the easiest entry point 👍
On the AI ↔ human handoff, we’re handling it inside the workflow layer rather than hard-coding it.
Our current approach:
• Confidence-based routing (fallback if intent confidence drops)
• Trigger-based escalation (e.g., pricing, refund, complaint keywords)
• Time-based failover (no resolution after X turns)
• Manual override nodes inside the visual builder
From there, we route to:
– Live chat inbox
– CRM ticket creation
– Slack / email notification
– Or assign to a specific support queue
The idea is that agencies can visually define when AI should step aside rather than relying on a fixed fallback rule.
We’re also exploring hybrid modes where AI drafts a response and a human approves before sending — especially useful for SMBs.
Curious how you’re approaching the escalation layer in TalkBuildr — is it inbox-native or integration-driven?
Would love to compare patterns 🚀