Parker I.
@parkerituk
Problem-solving is not linear. ๐ ๐ค ๐๐๐๐@worksub_co
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Works with your favorite AI framework: โ LangGraph โ CrewAI โ n8n workflows โ Custom Python agents โ AutoGen โ Anything that runs in Python One platform. Any agent. Production-ready in minutes. Join the revolution: kabric.com ๐ค
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 ๐ฅ With most platforms: โ No idea what happened โ No logs to debug โ Customers are angry โ Manual restart required With KABRIC: โ Real-time error alerts โ Automatic recovery โ Root cause analysis โโฆ
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 ๐โฆ
Ready to deploy #AIagent without the infrastructure headache? KABRIC's AgentOps platform handles: โ Deployment automation โ Production monitoring โ Cost optimization โ 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:โฆ
AWS/GCP: Great for web apps Heroku/Vercel: Perfect for websites KABRIC: Built specifically for #AIagents โ PromptOps workflows โ LLM cost optimization โ Agent-specific monitoring โ Token usage tracking Finally, infrastructure that understands AI. Get earlyโฆ
"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: ๐ณ Containerization (Docker + K8s) ๐ LLM monitoring & cost tracking ๐ Prompt versioning & A/B testing โก Auto-scaling for traffic spikes ๐ SOC 2 compliance & backups ๐จ Error detection & alerting The production backboneโฆ
Spent 8 months building our #AIagent ๐ค Spent 14 months getting it production-ready ๐ญ Infrastructure shouldn't be harder than the AI. KABRIC = Heroku for AI Agents โ Deploy with one command โ Auto-scaling included โ Monitoring built-in Join waitlist:โฆ
"How long to get our AI agent to production?" โ Traditional way: 6-12 months of infrastructure work โ With KABRIC: Deploy in days Stop building Docker containers and K8s configs. Start shipping AI agents that actually work in production. Early access:โฆ
#AIAgents are easy to demo, impossible to deploy ๐ค Your LangGraph prototype works great locally โ Crashes under real traffic โ No monitoring when it fails โ 6 months to build production infrastructure KABRIC solves this. AgentOps infrastructure that just works.โฆ
Someone just open-sourced $10M worth of N8N automations for free. 2000+ workflows that power real businesses - everything from lead generation to AI agents. The automations inside this vault: โ Cold email systems generating millions in revenue โ Lead scrapers pullingโฆ
I officially went from Amorim in to Amorim out today. This is not acceptable. #ManUtd
Honestly, #ManUtd will get relegated this season with Amorim at the wheel. The guy is clueless!
Nano Banana + N8N = AI Creatives Factory This AI system creates scroll-stopping visuals at scale using Google's newest image model. No designers. No agencies. No $50K creative budgets. Just endless professional-grade ads that look like top brands made them. Here's how itโฆ
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