Tobiloba Odejinmi

Senior AI Systems & Full-Stack Engineer • Building scalable APIs, data platforms & intelligent systems • LLM, RAG & Agent Architect • 2× Founder & CTO

[Tobiloba Odejinmi @tobidcoder]

Investors said ‘not a fit’? That’s rarely the real reason. I’ve been told no more times than I’ve been funded. Here’s the map I use to find out why 👇
Book Link: https://t.co/RNZMILNaTt

[Tobiloba Odejinmi @tobidcoder]

Investors said ‘not a fit’? That’s rarely the real reason. I’ve been told no more times than I’ve been funded. Here’s the map I use to find out why 👇
Book Link: https://t.co/RNZMILNIJ1

[Tobiloba Odejinmi @tobidcoder]

Investors said ‘not a fit’? That’s rarely the real reason. I’ve been told no more times than I’ve been funded. Here’s the map I use to find out why 👇
Book Link: https://t.co/RNZMILNIJ1

[Tobiloba Odejinmi @tobidcoder]

Find out why you were turned down, fix what you can, and stop pitching investors who will never say yes. WATCH: Link: https://t.co/RNZMILNaTt

[Tobiloba Odejinmi @tobidcoder]

New book · For pre-seed & seed founders Every investor “no” has a reason. Learn to read it before your next pitch. Why Investors Say No is a practical guide for pre-seed and seed founders:

[Tobiloba Odejinmi @tobidcoder]

CHECK NUMBERS • VERIFY FACTS • HUMAN REVIEW

AI can sound certain and still be wrong. Check the numbers, verify names and facts, and have a human review anything with serious consequences.

[Tobiloba Odejinmi @tobidcoder]

@VanceConsulting That’s how you move from a collection of agents to a governed AI workforce.

[Tobiloba Odejinmi @tobidcoder]

A PROMPT ≠ AN AI EMPLOYEE
A prompt is not an AI employee. A reliable employee needs a defined job, limits, review, tools, and logs—not just instructions.
#aiemployees #aiautomations

[Tobiloba Odejinmi @tobidcoder]

@VanceConsulting Exactly. Every AI agent needs a clear job description: what it owns, who it reports to, where its authority ends, and when it needs approval. The rule that the job description wins when documents conflict is especially important.

[Tobiloba Odejinmi @tobidcoder]

3 AI MYTHS • DEMO ≠ PRODUCTION

Three AI myths: it must replace whole jobs, you need to automate everything, and a successful demo proves production readiness. Start small and test real cases.

[Tobiloba Odejinmi @tobidcoder]

REPEATS? CLEAR RULES? WHAT IF IT FAILS?

Before automating, ask: Does the task repeat, are the rules clear, and what happens if it goes wrong? High-stakes tasks need human review.

[Tobiloba Odejinmi @tobidcoder]

DRAFT → REVIEW → SEND
Don’t let a new AI send emails on day one. Start in draft mode, let a human review every message, and expand autonomy only after testing.
#aiemployees #aiautomations #ai #aivirtualemployees

[Tobiloba Odejinmi @tobidcoder]

START BORING: EMAILS • INVOICES • REPORTS

Your first AI employee should be boring. Start with repeatable work like sorting emails, drafting invoice reminders, or preparing weekly reports.

[Tobiloba Odejinmi @tobidcoder]

WRONG TASK • NO LIMITS • NO OWNER

AI projects often fail because teams choose the wrong task, skip clear boundaries, or leave nobody responsible. Start with one task, clear rules, and one owner.

[Tobiloba Odejinmi @tobidcoder]

NEVER GIVE AI THESE 3 JOBS
Never let AI move money, make high-stakes decisions about people, or handle legal threats without human approval. Set clear limits.
#ai #aiautomations #aiemployees

[Tobiloba Odejinmi @tobidcoder]

NEVER GIVE AI THESE 3 JOBS
Never let AI move money, make high-stakes decisions about people, or handle legal threats without human approval. Set clear limits.

[Tobiloba Odejinmi @tobidcoder]

Three: replying to angry customers or legal threats. The AI can draft it, but a person should send it. AI is a great worker. But it needs a manager and limits. Follow me for one practical AI tip a day.
Which one surprised you? Tell me, and I'll reply.

[Tobiloba Odejinmi @tobidcoder]

Three jobs you should never give to AI. Number two will surprise you.
One: anything that moves money without a human approving it. Two: any decision about a person, like hiring or firing. AI should prepare the facts, and a human decides.

[Tobiloba Odejinmi @tobidcoder]

You need to understand the full system:
Models + Knowledge + Tools + Workflow + Permissions + Evaluation + Human Oversight
That is AI engineering.
#AIEmployees #AIEngineering #LLM #Agents #Automation

[Tobiloba Odejinmi @tobidcoder]

What Does an AI Employee Need?

What does a real AI employee actually need?

Not just an LLM.

A production AI employee may look something like this:

Trigger
↓
Identity
↓
Job
↓
Knowledge
↓
Reasoning
↓
Tools
↓
Policies
↓
Action
↓
Evaluation
↓
Human approval
↓
Monitoring

[Tobiloba Odejinmi @tobidcoder]

The LLM is only one part of the system.
The rest of the architecture matters just as much.
This is why prompt engineering alone is not enough to build production AI, employees.