David Ayoola

5 reasons to articulate the exact pain your LLM solves: Buyers don’t decode vagueness. VCs back clarity, not buzzwords. Pilots depend on precision. Sales decks become obvious. You sound like the only one solving that pain. Clarity closes. Vagueness delays.

Gatekeeping itself is another form of ego. Some of my most respected experts criticize mature people in their field(or others)who are making critical mistakes not dilettantes trying to find their feet. Correction is for dilettantes; criticism is for grownups.

Is it possible we criticize without invalidating others, especially when the mistake is low stakes?

Hmm, errm, what are you wrong about?

The thing is the question is not HOTL vs HITL in general. Rather it is this: For this present task, which one is most effective? The singular most important parameter to judge with is the nature of the decision, whether high-risk irreversible or not.

@ZabihullahAtal Just become an AI engineer and switch to the most lucrative at whim.

15 new roles that are quietly emerging and will replace many of today’s jobs: 1. Agent Operator 2. Agent Engineer 3. Agent Orchestrator 4. AI Systems Designer 5. Autonomous Workflow Designer 6. LLM Ops Engineer 7. Prompt Architect 8. Model Evaluation Specialist 9. AI Product Strategist 10. AI Safety & Alignment Engineer 11. Human-AI Interaction Designer 12. Synthetic Data Engineer 13. AI Infrastructure Architect 14. Decision Intelligence Analyst 15. AI-Augmented Scientist

What don't most people think about?

People talk about compute, networking, observability, data infrastructure, others and forget this core layer of AI infrastructure: humans. Humans, at least for now, are parts of the infra architecture. They need training too, especially if overseeing HOTL&HITL setups.

What's the simplest solution you can find now?

@SimonHoiberg It's an unfair advantage. The earlier the better. Adoption mustn't been blind though. Guardrails and other measures against off-the-rail behaviors must be put in place.

Using AI for content is fine. Using AI for operations is where things get unfair. A blog post saves you an hour. A system that triages support, watches your metrics, routes work, and challenges bad decisions changes how many products you can realistically run. That is where the gap is going to open up.

@devXritesh Yes: " Most apps don’t need sharding yet. They need proper replication + read-write splitting "

System Design Series - Week 6 Recap 🔥 Database Scaling & Replication How to go from 1 to 100K users without blowing up your costs or latency. Here are the biggest takeaways: 1. Database Replication Fundamentals - 1 Primary = handles all WRITES - 3+ Replicas = handle all READS - Real impact: 2,500 → 12,000 req/sec (4.8x) - Read latency: 300ms → 45ms (6.6x faster) - Cost: $800 → $600/month 90% of apps are read-heavy. Replication is the highest-ROI move you can make. 2. Read-Write Splitting Route reads to replicas, writes to primary. Three ways: Manual, Framework-level, or ProxySQL. Pro move: Implement “Read-your-writes” consistency so users always see their own changes instantly. 3. Failover & High Availability - Manual failover = 10-30 mins downtime - Automatic (Patroni + etcd) = 30-90 seconds Test your failover quarterly. Don’t learn it during a real outage. The Golden Rule This Week: Stop over-engineering. Start replicating. Most apps don’t need sharding yet. They need proper replication + read-write splitting Next week: API Gateway & Rate Limiting – How to protect your backend from traffic spikes, abusive users, and DDoS attacks. See you Monday. Which topic from this week was most useful for you? Drop it below 👇 #SystemDesign #Databases

Even Gumroad does thought leadership.

@THEPROCESSIR Decent life now, not "most".

@THEPROCESSIR Are you sure about that? Where did you get the data? Beware, availability heuristic is real. I'd like to see the data.

Sometimes life can be really crazy cause how do the people who work the hardest not always earn the most? The ones who give the deepest love end up with partners who barely care. The kindest, most genuine souls sometimes leave too soon, while the coldest ones seem to linger. You see people who sacrifice everything and still come up short, people who stay loyal getting betrayed, people who carry everyone else’s weight but have no one when they’re the ones breaking. Some give endlessly and get taken for granted. Some stay soft in a world that rewards hardness. Life doesn’t always play fair,and it rarely follows the script we imagine. But regardless. you still have to choose to build something beautiful out of it. ❤️

@neerajjj6785 Releasing a substack on it soon. Watch out.

@neerajjj6785 A questions I often hear. The thing is it's more complicated than that.

genuine question not a single person i have ever spoken to uses gemini for coding. this is still very very weird. why is gemini so bad at coding when google has scoured the web full of code for decades?

@Jayyanginspires True.

Instead of spending 3 months working on a pitch deck with your idea’s TAM SAM & SOM… why not spend 3 months talking to prospective customers and closing deals? Especially if most startups require a ton of upfront capital, why not make money with your first business then use that money (if you want) to take a bigger swing? The bigger the plane the longer the runway needed. Build a war chest before you go try to change the world.

Hot take: there’s way too many people trying to convince college students to raise a bunch of money and start an unproven startup idea and not enough people showing them how to start a profitable service business. I’d rather have a $100k cash-flowing agency than a $1m valuation pre-idea startup.

@Hadley The truth is humanity will adapt.

Most people who say AI won't displace jobs don't actually believe it. They're pushing that narrative out of self-interest. That story won't soothe anyone who actually loses their job. The backlash is coming. We should be preparing for it, not denying it.

@icanvardar No lie in that.

great products lose to better distribution and marketing all the time

@rand_longevity An AI-can-replace-workers' company.

If AI can replace the worker, the manager, and the analyst, what exactly is the company now?

@levie Bringing automation to a process is a line doing a lot of job over there. The in-house training is also how people get to do the job much more efficiently. Some technical expertise + adaptation to the system on ground. This sounds really good.

Starting to hire and retrain for new agent engineering roles for *internal* functions to help get more powerful agents working well on critical business processes. I expect this type of role to be a very big deal over time at Box and other companies. It looks something like an internal FDE, whose job it is to wire up internal systems and get agents working with them effectively. The person will be extremely technical and capable of building secure, governed agents for internal workflows that connect to business systems (like Box, Salesforce, Workday, etc.), and codify workflows in skills. In some cases this person may understand the business process well enough to do it fully, but in most cases I expect them to work with the business directly in an embedded fashion. Ironically, that may introduce another new role on the business side that is more akin to agent product management for internal processes. The key is that you need technical + process people that can span multiple teams or functions in an organization. It’s not about brining automation to a job, but bringing automation to a process. This is going to be a very big trend in most companies going forward. Fun to watch the early innings of what this will look like.