@monobot.ai
Most AI agents don’t break.
They slowly degrade — and teams notice too late.
Observability is what turns AI from a black box into a controllable system.
New Monobot post: monitoring, QA, and continuous improvement for AI voice & chat agents.
🔗 monobot.ai/library/blog...
They slowly degrade — and teams notice too late.
Observability is what turns AI from a black box into a controllable system.
New Monobot post: monitoring, QA, and continuous improvement for AI voice & chat agents.
🔗 monobot.ai/library/blog...
You Can’t Improve What You Can’t See: Observability for AI Voice & Chat Agents
Most AI assistants fail silently. They don’t crash.They don’t throw errors.They just slowly become less accurate, less helpful — and more expensive....
monobot.ai
January 23, 2026 at 12:57 PM
Most AI agents don’t break.
They slowly degrade — and teams notice too late.
Observability is what turns AI from a black box into a controllable system.
New Monobot post: monitoring, QA, and continuous improvement for AI voice & chat agents.
🔗 monobot.ai/library/blog...
They slowly degrade — and teams notice too late.
Observability is what turns AI from a black box into a controllable system.
New Monobot post: monitoring, QA, and continuous improvement for AI voice & chat agents.
🔗 monobot.ai/library/blog...
Most AI assistants don’t fail because the LLM is “bad”.
They fail because the knowledge base is messy and hard to retrieve.
New post: a practical playbook to build a high-accuracy KB for voice + chat agents using Monobot.
🔗 monobot.ai/library/blog...
#AI #AIAgents #KnowledgeBase
They fail because the knowledge base is messy and hard to retrieve.
New post: a practical playbook to build a high-accuracy KB for voice + chat agents using Monobot.
🔗 monobot.ai/library/blog...
#AI #AIAgents #KnowledgeBase
How to Build a High-Accuracy Knowledge Base for AI Voice & Chat Agents (Monobot Playbook)
AI agents are getting smarter every month — but in production, accuracy still breaks for the same reason: knowledge. When customers ask about...
monobot.ai
January 22, 2026 at 12:33 PM
Most AI assistants don’t fail because the LLM is “bad”.
They fail because the knowledge base is messy and hard to retrieve.
New post: a practical playbook to build a high-accuracy KB for voice + chat agents using Monobot.
🔗 monobot.ai/library/blog...
#AI #AIAgents #KnowledgeBase
They fail because the knowledge base is messy and hard to retrieve.
New post: a practical playbook to build a high-accuracy KB for voice + chat agents using Monobot.
🔗 monobot.ai/library/blog...
#AI #AIAgents #KnowledgeBase