Agient
Agient @AgientUS ·
AI without defined boundaries isn’t innovation. It’s unmanaged risk. Enterprise systems require clear permission layers, escalation paths, and behavioral limits. Intelligence is powerful. Boundaries make it usable. #AIGovernance #ProductionAI #AgenticAI #EnterpriseAI
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Anil Prasad
Anil Prasad @anilsprasad ·
Replying to @anilsprasad
I built a free tool that gives organizations an objective readiness score before they spend the first dollar. AI Aether is live. → ambharii.com/tools If this thread was useful, follow for more production AI from the field. I post what vendors will not say. #ProductionAI
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Agents Factory
Agents Factory @Agents_Factory ·
Replying to @Agents_Factory
Every system we build at Agents Factory ships with a full observability stack from day one. Not an add-on. Because production-ready means you know exactly what happened, where, and why. agentsfactory.io #AgenticAI #EnterpriseAI #ProductionAI #AIObservability
AgentsFactory - Custom SLMs & Private AI Workflows

Stop renting intelligence. We build custom, private SLMs and Agents for your business workflows.

From agentsfactory.io
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Anil Prasad
Anil Prasad @anilsprasad ·
Agentic AI doesn't fail loudly like LLMs do. It completes 11 of 12 steps confidently. Step 12 corrupts 3 months of downstream data. Monitors show green. Benchmarks passed. The real problem isn't hallucination. It's partial success. #AgenticAI #ProductionAI #HumanWritten
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Muhammad Husnain Ali
Muhammad Husnain Ali @MHusnainAli73 ·
Your AI pipeline WILL fail in production. Not "might." Will. • LLM APIs timeout • Embeddings go down • Rate limits hit at the worst time A demo becomes a product when you design for failure. What's the worst AI failure you've seen? #ProductionAI #AI
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Obsidian AI | Trading Agents
Obsidian AI | Trading Agents @ObsidianLabsAI ·
The AI hype is about demos, but the reality is production. Scaling 50+ agents reliably with decoupled tooling and complex handoffs is where projects truly hit a wall. Are you facing these integration challenges? Share your battle stories! #AI #ProductionAI
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馄饨的撸LP日记
馄饨的撸LP日记 @bitale14 ·
The hardest part of building AI apps isn't the AI. It's the boring stuff: - Error handling when APIs timeout - Retry logic for flaky tools - Graceful failures users don't hate Part 4 covers all of this with working code: github.com/Alexhr414/ai-d… #ProductionAI #Python #OpenSource
GitHub - Alexhr414/ai-dev-no-phd: AI Development Without a PhD — Practical tutorials for building...

AI Development Without a PhD — Practical tutorials for building AI apps - Alexhr414/ai-dev-no-phd

From github.com
36
Jon Jaroska
Jon Jaroska @JonJaroska ·
🚨 If your AI needs constant overrides, it’s not “smart”—it’s broken. Real production AI runs with guardrails, feedback loops, and clear objectives. Stop babysitting models—engineer them. 💡 #AIEngineering #ProductionAI #RealWorldAIFP
6
Chris Khan
Chris Khan @chriskhan01 ·
One reason agent demos look great, and production feels harder: the environment changes Different routes, different protections, different expectations from the destination. Infrastructure choices show up quickly. #AIAgents #ProductionAI #AIInfra
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