おすすめツイート
Sesko Cunha Fernandes Mbeumo Mainoo Casemiro Dorgu de Ligt Yoro Mazraoui Lammens
If you’re a developer integrating or leveraging AI tools, there’s one simple practice that will dramatically improve your results: always prompt your AI to ask clarifying questions.
Works with your favorite AI framework: ✅ LangGraph ✅ CrewAI ✅ n8n workflows ✅ Custom Python agents ✅ AutoGen ✅ Anything that runs in Python One platform. Any agent. Production-ready in minutes. Join the revolution: kabric.com 🤖
I hear questions like "How is your app different from A, B, or C out there"? Does it really need to be?
There are tons of different model cars, mobile phones etc. that's how capitalism works. Endless choices.. always based on individuals. So, "who can buy my thing" not like this. Yes, they might buy.
Your #AIagent just crashed in production 🔥 With most platforms: → No idea what happened → No logs to debug → Customers are angry → Manual restart required With KABRIC: → Real-time error alerts → Automatic recovery → Root cause analysis →…
How much does #AIagent infrastructure cost? Senior DevOps Engineer: $180k/year AWS infrastructure: $5k+/month Monitoring tools: $500/month Time to build: 6-12 months KABRIC: $199/month Time to deploy: 5 minutes ROI Calculator: Obvious 📈…
Ready to deploy #AIagent without the infrastructure headache? KABRIC's AgentOps platform handles: → Deployment automation → Production monitoring → Cost optimization → Enterprise security Join 500+ developers on the waitlist. kabric.com
I keep hearing "Develop Solutions that are 10X better than what exists in the market" How the hell do you measure the 10x in this context?
"We built our CrewAI prototype in 2 weeks. Took us 6 months to make it production-ready. - Docker configs - K8s deployments - Monitoring setup - Cost tracking - Error handling Wish KABRIC existed then. Would've saved us months." Don't repeat our mistakes:…
AWS/GCP: Great for web apps Heroku/Vercel: Perfect for websites KABRIC: Built specifically for #AIagents → PromptOps workflows → LLM cost optimization → Agent-specific monitoring → Token usage tracking Finally, infrastructure that understands AI. Get early…
"Our marketing team is just me and ~40 AI agents." -Million-dollar founder with no marketing team Want the template? Retweet + Reply and I'll DM you.
What KABRIC handles so you don't have to: 🐳 Containerization (Docker + K8s) 📊 LLM monitoring & cost tracking 🔄 Prompt versioning & A/B testing ⚡ Auto-scaling for traffic spikes 🔒 SOC 2 compliance & backups 🚨 Error detection & alerting The production backbone…
Spent 8 months building our #AIagent 🤖 Spent 14 months getting it production-ready 😭 Infrastructure shouldn't be harder than the AI. KABRIC = Heroku for AI Agents → Deploy with one command → Auto-scaling included → Monitoring built-in Join waitlist:…
"How long to get our AI agent to production?" ❌ Traditional way: 6-12 months of infrastructure work ✅ With KABRIC: Deploy in days Stop building Docker containers and K8s configs. Start shipping AI agents that actually work in production. Early access:…
#AIAgents are easy to demo, impossible to deploy 🤖 Your LangGraph prototype works great locally → Crashes under real traffic → No monitoring when it fails → 6 months to build production infrastructure KABRIC solves this. AgentOps infrastructure that just works.…
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