LinkfliQ
AI agents that have answered 1M+ customer conversations for 25+ brands.
1M+ customer conversations, and 99% of comment replies with no paid AI call
- Product
- LinkfliQ → Pipr · own company
- My role
- Founder & CTO
- Scale
- 1M+ conversations · 25+ brands
- Status
- In production
Context
D2C brands sell across Instagram, WhatsApp, Facebook and website chat at once, in English, Hindi and Hinglish, with traffic spiking whenever a campaign goes live.
The problem
Teams couldn't reply fast enough, and sales slipped. Sending every message to a large AI model would have been too expensive at tens of thousands of messages a week, and it invents prices and products.
See it working
An unedited screen recording of Pipr's sign-up and Shopify connection (1:22).
What I built
A router plus sales, FAQ, complaint, collab and fallback agents, each with its own tools.
Order status, product shares and comments on product posts are answered by code from live Shopify data.
Language detection for Indic scripts, and replies in the language the customer writes in.
Wholesale leads, collaborations and tricky chats go to the brand's team with the full thread, and the bot stays quiet once a person takes over.
A chat-first web app where merchants ask about sales, products and conversations, and approve changes the copilot proposes before anything is written.
The hard part
A brand added two products to Shopify and only one reached LinkfliQ, an hour late. Shopify's update was accepted, then queued in memory; a deploy restarted the server before the queue ran, and Shopify never resends an update it was told arrived.
Every 10 minutes the system now re-checks each store for products changed since the last check, a daily pass removes products Shopify no longer lists, and the server waits for its queues to empty before it shuts down.
How quality was enforced
A price reconciler overwrites any price the model gets wrong before the reply is sent.
Replies are verified against the tool calls that really happened, not what the model claims.
Tokens and cost are logged per call per brand, so cost per conversation is measured.
Result
1M+ conversations for 25+ brands. In one measured week, 99% of 36,266 product-comment replies were sent with no paid AI call, because code answered them from live catalogue data.
Stack
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