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šš¦šš³šØš§'š¬ šš ššš„š„šš« šš¬š¬š¢š¬ššš§š šš¬ šš”šš§š š¢š§š ššØš° ššš„š„šš«š¬ ššš§šš š šš”šš¢š« šš®š¬š¢š§šš¬š¬
Amazon has introduced an upgraded šš-š©šØš°šš«šš ššš„š„šš« šš¬š¬š¢š¬ššš§š designed to help sellers manage and grow their businesses more efficiently. Powered by generative AI, it can answer questions, provide account insights, recommend actions, and assist with everyday Seller Central tasks.
šš”šš ššš§ šš ššØ?
Answer Seller Central questions in plain English
Identify account issues and recommend next steps
Help manage listings and inventory
Surface business insights faster
Save time navigating Seller Central
šš®š ššš«š'š¬ šš”šš ššš§š² ššš„š„šš«š¬ ššš šš«šØš§š ...
AI can suggest actions.
It cannot replace strategy.
For example, AI might tell you:
"Increase your budget."
But it won't tell you:
Which keywords are wasting 40% of your ad spend
Which search terms deserve their own campaigns
When to lower bids instead of increasing them
Which ASINs should receive more advertising budget
That's where experience still matters.
šš¬ šš§ šš¦šš³šØš§ ššš ššš§šš šš«, š š
šØšš®š¬ šš§:
Search Term Analysis
Bid Optimization
Budget Allocation
Reducing ACoS
Scaling Profitable Campaigns
AI is an incredible assistant, but it doesn't replace data-driven decision-making.
The sellers who combine šš ššØšØš„š¬ š°š¢šš” šš±š©šš«š ššš š¦šš§šš šš¦šš§š will have the biggest advantage in 2026.
ššØš§'š š£š®š¬š šš®ššØš¦ššš š²šØš®š« šš¦šš³šØš§ šš®š¬š¢š§šš¬š¬. šš©šš¢š¦š¢š³š š¢š.
If you're looking to lower your ACoS and scale profitable sales, feel free to message me for a professional Amazon PPC audit.
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Talkinator- a reimagined translator app.
Even though I'm no immigrant, I forget words like it's my full time job.
LIVE PROJECT
FLOWSTEP
PS: While building the app, my major pointers were:
1) We all forget words and when we do remember them after forcing our brain, it feels like a weight lifted off.
ā This app is supposed to make that feeling easily attainable. 2) Translators should be capable of doing more.....
šš²š¹š¶šš²šæš²š± šš»š±-šš¼-šš»š± š¤š š³š¼šæ š¦šš¢ & šš š¦ š š¶š¹š²ššš¼š»š² (šØš-šš®šš²š± š£š¹š®šš³š¼šæšŗ)
Executed structured testing for a live talent acquisition platform, ensuring smooth rollout of SEO enhancements without impacting existing user flows.
What was covered:
SEO landing pages logic & visibility controls
CMS-driven dynamic content (hero sections, highlights, banners)
Admin vs frontend data consistency
UI rendering validation across key pages
Regression assurance across:
Authentication system (Login / Register)
Real-time messaging
Job creation & management
Talent discovery (search & filters)
Execution approach:
Tested 40+ scenarios across multiple modules.
Followed structured acceptance + regression checklist
Focused on real user journeys, not just isolated test cases
Key learning:
Effective testing isnāt just about finding bugs
itās about ensuring new changes donāt break existing user flows.
Outcome: Smooth deployment, stable system, zero critical breakage.
Great work on ensuring seamless SEO updates; what was the most challenging part of coordinating the end-to-end testing process?
Here's our submission for the #flowstepchallenge :
"Let me cook" - app that turns following a recipe into a game you play one step at a time. We made this for people who are short on time, energy, and confidence with cooking, and a little sick of takeout.
The idea is simple: You cook one dish, step by step, and get scored as you go. Not on speed, but on timing and presence.
The bonus part we built here :
One doesn't cook from a shopping list. Just point the camera at whatever's already in the fridge, be it two eggs, an onion, some leftover rice and the app builds a dish around that! It works from what one have, not what one needs to go buy. Which is exactly how (from personal experience) one actually stands in the kitchen at 8pm wondering what to make.
We had a lot of fun bringing this idea to life on the Flowstep AI builder. Our workflow started with stress-testing the idea in Claude, prompting in Flowstep, refining in Figma and deploying a testable MVP!
We deployed the MVP via Expo Go to test on mobile phones. See below, the app walkthrough and also us testing it on a phone to see how it works! The test resulted in a successful dish too. š„
Would love to know your thoughts on this project! Should we deploy this for testing further? š
