Ayo Fakoya

AI founder building WULO at Neuter Labs — bridging the gap between therapy sessions with smart support, progress insights & personalised child exercises.

[Ayo Fakoya @fakoyaayoola]

Episode 5: One Govern Event
Learn why every AI system needs one trusted, governed event to keep decisions consistent and predictable. Enjoy.

#AITransformation #BusinessTransformation #OrganizationalDesign #FutureOfWork #AILeadership #BusinessStrategy

[Ayo Fakoya @fakoyaayoola]

Episode 4: Your AI Strategy
See how to create an AI strategy that actually works in the real world. Clear priorities, governed data and measurable outcomes. Enjoy.

#AITransformation #BusinessTransformation #OrganizationalDesign #FutureOfWork #AILeadership #BusinessStrategy

[Ayo Fakoya @fakoyaayoola]

Episode 3: The Company Brain
Learn how a Company Brain turns scattered information into a single, trusted source that powers real AI automation. Enjoy.

#AITransformation #BusinessTransformation #OrganizationalDesign #FutureOfWork #AILeadership

[Ayo Fakoya @fakoyaayoola]

Episode 2: People as the Integration Bottleneck

Learn why people often block AI progress and how to remove the bottleneck.

Enjoy.

#AITransformation #BusinessTransformation #OrganizationalDesign #FutureOfWork #AILeadership #BusinessStrategy

[Ayo Fakoya @fakoyaayoola]

#AITransformation #BusinessTransformation #OrganizationalDesign #FutureOfWork #AILeadership #BusinessStrategy #ArtificialIntelligence #OrganizationDesign

[Ayo Fakoya @fakoyaayoola]

8/ Learn specs. Learn evals. Learn system design.

That is the new product engineering stack.

Not prompting alone. Not coding alone.

The loop, plus the judgment to design it.

#LoopEngineering #AIEngineering #AIAgents #AgenticAI #TechInnovation

[Ayo Fakoya @fakoyaayoola]

7/ Also: evals are not the finish line.

They are the minimum bar.

Real users will still find edge cases your test set never imagined. The loop only gets better when human feedback goes back into it.

#LoopEngineering #AIEngineering #AIAgents #AgenticAI #TechInnovation

[Ayo Fakoya @fakoyaayoola]

6/ That boundary is where system design matters.

If you can't draw it, your agent will happily loop forever, building the wrong thing very fast.

#LoopEngineering #AIEngineering #AIAgents #AgenticAI #TechInnovation

[Ayo Fakoya @fakoyaayoola]

5/ The rule is simple:

AI can talk, but code owns consequences.

Bookings? Code. Money? Code. Anything clinical? Stop and hand off to a human.

The model handles language. The system handles decisions.

#LoopEngineering #AIEngineering #AIAgents #AgenticAI #TechInnovation

[Ayo Fakoya @fakoyaayoola]

4/ Real example: an AI agent that calls patients about missed appointments and helps rebook them.

Every behavior change passes a gate: quality evals, a safety suite, and an automated red team.

No green gate, no merge.

#LoopEngineering #AIEngineering #AIAgents #AgenticAI

[Ayo Fakoya @fakoyaayoola]

3/ The loop is simple:

Write the product spec. Write the evals. Let the agent build, test, fail, fix, repeat.

It stops when the evals pass or when it hits a wall.

#LoopEngineering #AIEngineering #AIAgents #AgenticAI #TechInnovation

[Ayo Fakoya @fakoyaayoola]

2/ AI made it easier to turn an idea into an app.

It did not make product judgment optional.

The people moving fastest now are the ones who can write the spec, design the loop, and know when the agent is building the wrong thing.

#LoopEngineering #AIEngineering #AIAgents

[Ayo Fakoya @fakoyaayoola]

1/ Loop engineering + system design is becoming the new full stack.

Not because everyone needs to write every line of code.

Because someone still has to know what the system should become.

[Ayo Fakoya @fakoyaayoola]

@Jason I’m in

[Ayo Fakoya @fakoyaayoola]

@calcsam Book

[Ayo Fakoya @fakoyaayoola]

@mikefutia Banana

[Chaz Wargnier ♨️ @DataChaz]

Who is going to win the AI race?

[Ayo Fakoya @fakoyaayoola]

https://t.co/tBUXXbAnWO

[nader dabit @dabit3]

who's the best freelance designer you know?

with a public portfolio.

[Cassie Kozyrkov @decisionleader]

We're accumulating ethical debt with AI just like we accumulated technical debt with software.

Everyone's rushing to deploy for ROI: "We'll add the ethics layer later."

Sound familiar?
It's the seatbelt problem - cars had engines from day one, but we only added seatbelts after people started dying.

Don't wait for the crashes.

#AI #EthicalDebt #Technical Debt

If you found this useful, a repost ♻️ makes my heart happy. And a subscription to my newsletter makes my day. https://t.co/YUCreIzHRX

[Cassie Kozyrkov @decisionleader]

The road to prompt injection is paved with good intentions.

We’ve reached the “pimply teen” phase of AI, where glamorous infinite possibility meets gritty reality.

Our new AI systems are ready to take actions. Access APIs, move money, send emails. And we’re doing it in production environments, often without realizing how porous and attack-prone the whole stack is.

This is where things like agent compromise, agent injection, provisioning poisoning, and flow manipulation come in. These aren’t speculative doomer scenarios — they’re enterprise security issues unfolding right now in real deployments:

→ AI can't tell real memories from fake ones
→ Invisible ink manipulates agents using buried commands
→ Long-term API keys stored in plaintext files
→ Email agents can be turned into data exfiltration pipelines

As a leader, you're still on the hook for results… and you'll be the one held responsible if it all goes up in smoke.

So let’s walk through a few of the ways this can go sideways — and more importantly, what you can do to hedge against it 👉https://t.co/0t7psqSoAh

If you found this useful, a repost ♻️ makes my heart happy. And a subscription to my newsletter makes my day. https://t.co/YUCreIzHRX