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A question we hear often is, "Should we add an AI chatbot to our website?"
Our answer is usually, "What problem are you trying to solve?"
If your team is answering the same questions every day, missing leads after business hours, or manually qualifying inquiries, an AI chatbot can make a huge difference.
But if you're expecting a chatbot to fix a confusing website or generate traffic on its own, you'll probably be disappointed
The best AI solutions fit naturally into your existing workflow and make life easier for both your team and your customers.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Custom AI Chatbot & Agent Development
Give your business a 24/7 AI assistant that actually knows your business. We build custom AI chatbots trained on your documents, website, and data — handling customer support, answering questions, and automating repetitive tasks.
What's Included
AI chatbot trained on your content (PDFs, website, docs, database)
Embeddable widget for your website or app
Streaming responses with live chat UI
Admin dashboard with conversation analytics
Choice of AI provider (OpenAI, Gemini, or Groq)
Tech: OpenAI · Gemini · Groq · Python · Node.js · React
Hey Contra 👋
Two months ago I posted Promptly here as a work-in-progress and said I'd launch in about three weeks.
Then a health issue knocked me flat, and the three-week plan was gone.
I'm good now — and as of today, the build is done. I just published the full case study as well.
Quick recap: after shipping 20+ projects as a tech lead, I kept watching the same thing break. A founder says one thing, the developer hears another, and a month in, the whole build is based on a misunderstanding nobody caught early.
Promptly closes that gap. You describe your idea in plain English; the AI interviews you, pushes back on the vague parts, and writes a developer-ready spec while you chat.
But the chat is the easy part. The real engineering is everything that stops the AI from being trusted too much:
→ It never touches the database. 16 agents can only propose changes through typed tool calls; backend code checks each one, and invalid calls get rejected and logged.
→ Nothing ever gets lost. It snapshots before anything risky, so you can roll back a single module or the whole project.
→ Spend is capped, always. Every AI call passes four checks before it fires, and each one is logged with its exact cost.
One line sums up the architecture:
The AI proposes. The code decides.
The model gets to be creative. It never gets to be in charge.
Full case study is on my profile, and the product is live if you want to poke at it.
One question:
Shipped anything with LLMs in production? What guardrail saved you — or what missing one burned you?
Every comment on the last post shaped what got built. Thank you for that 🙏
building solo, in public
🚀 Excited to announce — my AI automation & chatbot service is now live on Fiverr!
If your business is spending too much time on repetitive tasks or customer queries, I can help automate that.
What I build:
✅ AI chatbots that handle FAQs 24/7
✅ Lead qualification systems that score leads automatically
✅ Email automation that drafts replies using AI
Built using Make.com, Voiceflow, and Google Gemini.
Check out my gig here 👉 https://www.fiverr.com/s/42PK0yk
#AIAutomation #Chatbot #Freelance #MakeAutomation
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