Activity
Mon
Wed
Fri
Sun
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
What is this?
Less
More
Memberships
Voice AI Accelerator
7.3k members • Free
AI Automation Society
252.1k members • Free
AI Automation (A-Z)
129.5k members • Free
AI Accelerator
17.2k members • Free
AI Automation Agency Hub
291.3k members • Free
Hamza's Automation Incubator™
44.8k members • Free
Content Academy
13.8k members • Free
AI n8n Automation Collective
2.3k members • Free
AI + Systems for Coaches 🤖
4.9k members • Free
20 contributions to AI Automation Society
8d •
Finish this sentence 👇
Finish this sentence based on your experience: “AI automations work great until __________.” No overthinking — one line answers count 😄 Curious what keeps showing up for people.
14d •
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 “unlearning” helped you most.
1 like • 13d
@Talya Morris @Alicia F @Click BeMarketing @Lynden Cooke @Sander Puerto @Adhithan R @Lucia Cohen @Navod Kalansuriya @Maz B your thoughts?
17d •
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 😅 Asking because these “surprise pain points” seem to slow people down more than the tools themselves. Curious what caught you off guard.
0 likes • 16d
@Catherine Sharon @Bill Hazelton @Crystal C @Alexander Pite @Diego Montaño @Shav EmCee @Matthew Leahy @Brais R. @Rhayanna Brennan @Elijah Cabrera @Sarah Cribari Curious what caught you off guard or would you think will do so?
16d •
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.
18d •
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. 👉 React with A or B and comment why if you’ve been burned by one.
1 like • 18d
@Adam Hasan That’s a totally reasonable approach starting out — A is great for learning and momentum. One thing I’d be careful about though: choosing A because everyone says it’s better vs choosing it because it fits where you are right now. Out of curiosity, what’s the main thing you’re optimizing for at this stage —learning speed, confidence, or getting something live as fast as possible? I think a lot of people here started with A for different reasons, so it’d be interesting to hear those.
1 like • 17d
@Nyakio Muriuki @Robert Leggs @Demetra Lambros @Isaac Smallwood @Brandon Boyd @Brandon Boyd @Lonnieshi Dollarhide @Pavel Dubanevich @Rashawn Ray @Roger P @Chris Langille @Sylvan Raghunauth Curious where you really land, A or B?
1-10 of 20
@kenova-west-9908
Over 9 years in IT Operations and Network Support | Mentor | Leader | Educator | Project Manager | Network Engineer | Operations Manager
Active 6h ago
Joined Jan 9, 2026
Powered by