Panel 1 — Customer Refund Request: Customer asks for a refund on an item from a fulfilled order (...Panel 1 — Customer Refund Request: Customer asks for a refund on an item from a fulfilled order (...
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Panel 1 — Customer Refund Request: Customer asks for a refund on an item from a fulfilled order (#1062). The AI correctly identifies the order is already fulfilled and explains it needs to process this as a return instead of a refund, then lists the actual items so the customer can specify which one — this is your item-listing fix and the return/refund distinction we worked through today, shown accurately.
Panel 2 — Identity Verification: After the customer picks "Selling plans ski wax," the AI correctly requires identity verification before proceeding, asking for the email used on the order — matches your guardrails logic exactly.
Panel 3 — Return Submitted for Approval: Once the email is confirmed, the return completes cleanly with no redundant re-confirmation — this is your later prompt fix (the one that eliminated the re-listing/re-asking loop) working correctly.
Icon cards for me, bouquets are such a visual purchase that a scannable icon beats reading "small/medium/large" every time. Did the compact chips version convert worse in testing, or are you still gathering data on that?
Niva - AI Automation Agency Template (Contact page)
📌 What's Included
13+ fully designed pages, covering the entire buyer journey:
Home — hero, problem/solution framing, services, industries served, integrations, process, stats, case study previews, testimonials, pricing, FAQ, and final CTA
About — origin story, mission, values, team, and company stats
Services — a full breakdown of each service line with outcomes and use cases
Case Studies — a CMS-powered index plus a detailed single-case-study template (problem → approach → solution → results)
Blog — a CMS-powered index and article template, ready for SEO content
Contact — a conversion-focused form paired with direct calendar booking
404, and legal pages — Privacy Policy, Terms of Service, and Cookie Policy included
📌 Ideal For
AI automation agencies and consultancies
Workflow automation specialists and system integrators
Custom AI agent developers
AI strategy and operations consultants
Freelance automation experts positioning as a boutique agency
SaaS companies offering AI-powered services to B2B clients
Receiving feedback is not the same as having permission to publish it.
That distinction shaped ReviewDesk, a customer feedback and testimonial system I designed and built at Noerong.
For a local business, the workflow starts after a completed job: request honest feedback, keep track of the response, and make the next step clear.
Three decisions shaped the experience:
1. Keep the customer journey focused.
A branded page and private request link make it clear where to respond. Scheduled reminders stop after a response.
2. Separate feedback from public proof.
Testimonial consent and administrator approval are distinct steps. Every rating receives the same public-review option, without filtering out unhappy customers.
3. Give the business a useful overview.
The dashboard brings requests, responses, activity, and approval status together. Approved testimonials can appear on a public wall or an embeddable website widget.
I designed and developed the customer flow, dashboard, reminder worker, and widget using Python and FastAPI.
The loop shows the feedback page, business dashboard, and testimonial wall. All customer names, comments, and metrics are fictional demo data. The public demo sends no email and retains no visitor submissions.
The detail I care about most: permission is part of the product, not an afterthought.