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We recently built an AI Customer Support Agent, and one thing surprised us...
The chatbot wasn't the hardest part.
Getting the AI to understand the business was.
The quality of an AI assistant isn't determined by the model alone.
It's determined by the information you give it.
During development, we found that connecting the AI to the right documentation, FAQs, business rules, and workflows made a far bigger difference than switching between models.
Once the AI had the right context, responses became more accurate, consistent, and genuinely helpful.
It reinforced something we've been seeing across recent AI projects:
Businesses don't need another chatbot. They need an AI assistant that actually understands their business.
That's where the real value is.
Curious to see how other teams are approaching AI knowledge management. What's been your biggest challenge when building AI products?
#AI #ArtificialIntelligence #CustomerSupport #AIAgents #SaaS #ProductDevelopment #Automation #OpenAI #Claude #BusinessAI #TvaronTechnologies
One thing we learned while building this dashboard: great AI products aren't just about the model, they're about presenting the right information in a way that teams can act on instantly.
The network for creativity
Join 1.25M professional creatives like you
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Creatives on Contra have earned over $150M and we are just getting started
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Built this landing page using Figma + Claude Fable 5.
https://novaabank.netlify.app
Wow , i mean now words still cannot belive ai did this
Hello everyone I'm Prem, and this is ORBIT, my entry for the Flowstep.ai Challenge.
We all lose touch with friends we loved from school, from college. Nobody's fault. Life gets busy, and by the time you notice, it's been years.
Losing a friend isn't a decision you make; it's something you find out about, long after it happened. Everyone means to react out . Nothing reminds you that you haven't.
So I built the thing that keeps track. In Orbit you're the sun, and your friends are planets orbiting you. How far out a planet sits is how long you've been quiet. Tanmay hasn't heard from me in 212 days, so he's stopped moving he's asleep, with little z's floating off him.
The distance isn't decoration, the picture is the data. Your glance at your galaxy.
And it doesn't nudge you to "check in." It gives you a reason: her show opens Friday, and you saved her flyer in March. You send a Shooting Star, she replies, her orbit pulls back in.
It never reads what you wrote. It only notices that you talked.
I connected Flowstep to Claude Code over MCP and drove the whole build from my terminal. Loading my design system in as Flowstep's design guidelines first is what made 21 screens feel like one product. Then I put it live, so it's a real app you can use.
Send someone a shooting star and see what comes back 😊 .
#FlowstepChallenge #Flowstep #ClaudeCode #MCP #ProductDesign
AI did not make great developers obsolete.
It made average execution cheap.
Anyone can now generate:
• A landing page
• A dashboard
• An API
• A mobile app
• 5,000 lines of code before lunch
But here is what AI still cannot decide for you:
- Should this feature exist?
- Will a real customer understand it?
- Is the experience fast, trustworthy, and accessible?
- Can the system survive its first 10,000 users?
- Will another developer understand the code six months later?
The value of a developer is no longer measured by how quickly they can type code.
It is measured by the quality of the decisions they make before, during, and after the code is written.
AI can help you build almost anything.
Taste tells you what is worth building.
Engineering judgment makes sure it actually works.
The developers who win this decade will not compete against AI.
They will combine AI speed with the product thinking, creativity, and technical depth that AI cannot replace.
What is one skill you believe becomes MORE valuable as AI gets better?
#FullStackDevelopment #AI #CreativeAIFlow #WebDevelopment #ProductEngineering #BuildInPublic
Writing good acceptance criteria. AI can turn a loose prompt into a lot of plausible code fast, so I spend more time defining success before the build and proving it afterward.