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9 contributions to AI Automation (A-Z)
What’s one thing you stopped doing that made your builds better?
Quick reflection question for builders: As you’ve gotten better at AI automations / agents, what’s one thing you intentionally stopped doing that improved reliability or sanity? Examples: - Over-prompting - Chasing edge cases too early - Tool-hopping - Letting AI act without guardrails - Shipping without monitoring Curious what ā€œunlearningā€ helped you most.
What’s the hidden cost people underestimate in AI projects?
Something I’m starting to notice: Most AI projects don’t fail because of the tech — they fail because of a hidden cost that shows up later. From your experience, what’s the most underestimated cost when building or deploying AI automations / agents? Could be: - Maintenance & edge cases - Monitoring & incident response - Client education / trust - Prompt drift or model changes - Over-engineering too early Curious what ended up costing you more time or money than expected.
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What confused you way more than you expected?
Honest question for builders: When you first started working with AI automations / agents, what part turned out to be far more confusing or fragile than you expected? Could be: - Inputs & data structure - Edge cases - Prompts / output consistency - Integrations & auth - Monitoring & failures - Human behavior šŸ˜… Asking because these ā€œsurprise pain pointsā€ seem to slow people down more than the tools themselves. Curious what caught you off guard.
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Be honest: which one actually scales?
Quick gut check — no overthinking. When you’re building automations for real users or clients, what actually scales better long-term? A) One simple automation that works 95% of the time B) A complex system that tries to handle every edge case Curious where people really land. šŸ‘‰ React with A or B and comment why if you’ve been burned by one.
A pattern I keep seeing with AI automation sales
One thing I’ve noticed across almost every AI automation conversation: Most businesses don’t push back on automation because it’s ā€œAI.ā€They push back because they don’t see certainty. - They don’t know what breaks if it fails - They don’t know who owns it after it’s live - They don’t know how success is measured week to week Once those three are clear, the tech almost stops mattering. Question: What’s one sentence or framing you’ve used that made things click for a client?
1 like • 6d
@Albert Shiney @Jordan Zuvich @Oded Steiner @Stuart Cotter @Yves Mattle
1-9 of 9
Mohammed Abda
3
43points to level up
@kenova-west-9908
Over 9 years in IT Operations and Network Support | Mentor | Leader | Educator | Project Manager | Network Engineer | Operations Manager

Active 37m ago
Joined Jan 8, 2026
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