Automation isn't all-or-nothing: automating 80% of a task is far better than automating none of it. I argue that every task has routine, repetitive elements you can automate with traditional code, and you can use LLM calls only when reasoning or decisions are needed to get 80–90% of the way there. I use the math: if you spend 10 hours a week on video editing or social media management, automating 80% gives you eight hours back, and employees get the same savings. I land on keeping a human reviewer for the final step, because even “autonomous” agents still need review—and that partial automation is more reliable and cheaper than chasing 100%.
Key takeaways
Don't wait for 100% automation; automate the 80–90% you can and handle the rest manually.
Break every task into repetitive elements and automate those first with traditional code—LLMs aren't required for the routine parts.
Use LLM calls only for reasoning and decisions, not for work a Python or bash script can do reliably.
Keep a human in the loop for final review; even “autonomous” agents aren't truly 100% automated.
Quantify the payoff: automating 80% of a 10-hour weekly task returns eight hours per week, for you or your team.
Book a call: https://calendly.com/itshassanaziz/discuss-a-project
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Hey all, starting a new mini-series on my channel. Automation Tips.
I've been building a lot of automations recently, both for myself and for other business owners. Unlike 99% of automations you see going viral on Twitter and IG that barely work beyond a demo, my automations are fast, reliable, and cheap. They don't cost $50k in LLM tokens because I know how to write efficient automations. They run fast. They have maximum deterministic capabilities so they're as reliable as possible.
I've learned a lot after building these automations, and I'm gonna be sharing all of that in these mini tips.
Hope that helps y'all in your own automation projects.
Make sure you SUBSCRIBE so you don't miss any part of this series, and leave a like (it helps a ton! Especially for small channels like mine lmao)
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LINKS
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Transcript
Auto-generated transcript
Alright guys, automation tip number three in this short series that I'm doing where I explain a bunch of automation tips to implement in your AI agents and workflows to make them more reliable, to automate tasks better. Tip number three, don't treat automation as an all or nothing endeavor, right? Automating, let's say 80% of a task or process is way better than automating none of it, right? Because I see a lot of people have this all or nothing mentality with automation. They say, I want to automate, let's say, social media management, right? They want to automate everything in that entire process 100% or they're not going to do it, which is just dumb, right? So don't treat automation like an all or nothing process. And let me give you some examples. Let's say you're trying to automate your video editing. I've already done that. Or you're trying to automate your social media management, right? Posting content, organizing it, engaging with users, all the other stuff. I've already done that. let's say you're trying to automate those things, right? Even if you just automated 80 of all of the tasks involved in those two things you still way better off Let put some numbers over here If you spending let say 10 hours a week doing I don know video editing or social media management you just got eight hours back Like if you just automated 80% of the work, you've got eight hours back per week. And that's an insane improvement already, right? Think about what you could do with that time. and if let's say you've got employees that do those things for you you've got a video editor for your channel you've got social media managers for managing your business profiles on all platforms let's say you've got people who do those things for you they're going to save so many hours and they're going to save so much energy that they can then invest in other more productive actions in the business right like in every single scenario over here you're winning your business is growing because here's the thing even though frontier lms and ai models are really really smart even though open ai and anthropic are putting out some really great things there's certain tasks that just aren automatable completely right not every process can be automated completely but every single task under the sun can be automated to some extent And your job as an automation specialist or whatever is to try to find that extent find that level that you can automate and then just do the rest manually Because if you can automate a routine task by 70 or 80 percent, why not go do that? every single process, every single task that you do has a ton of like routine, repetitive elements that can be automated using just traditional code, not even any LLMs required, literally just traditional code like Python scripts or bash scripts. Every single task has repetitive elements like that. And you can use traditional code to automate all of that. And when you need some sort of reasoning, when you need to make like decisions and stuff, an LLM call to some frontier model does get the job done So you can definitely get 80 to 90 of the way there right with automation tools that you got available today but you probably not going to get to 100 especially if it kind of like a complicated task or there a lot of complex moving parts involved And that okay because look these things don need to be autonomous And at the time of making this video at least the technology is not autonomous Even in fully autonomous AI agents you know I using air quotes because none of these agents are fully autonomous. But even in these autonomous systems, you always have a human in the loop that is reviewing the output, right? So you haven't automated anything 100%. You're just automating it 90% and then leaving the final decision in the hands of the human reviewer, right and that's completely fine because you've still automated 90 of all of the grunt work all of the work is done the only thing the human is doing is reviewing it right so that still results in a ton of savings and time and energy and money and all these other things and unlike all these other autonomous like fully autonomous ai agents and systems that are running right now and burning millions of dollars in tokens and are not even reliable yours would actually work so yeah don't have an all or nothing mentality when it comes to automation it doesn't matter if you can automate a task 100 or not if you can get 80 to 90 of the way there and eliminate most of the work you're already better off
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