Danforth Dev & AI Automation

Building smart systems with code + automation ⚡ | PERN Stack | n8n + | AI Workflow Engineer

[Danforth Dev & AI Automation @BigBabyDanforth]

@__dolani Facts!
Over a year now and I haven’t seen any results
It is really a waste of time

[Danforth Dev & AI Automation @BigBabyDanforth]

@iamshyblakj @effxzzzyy bro, what is the highest Gigabyte you have used on it
It has only been 2 weeks and I have used 150gb already. I did the unlimited data too for 40k

[Danforth Dev & AI Automation @BigBabyDanforth]

@onyekanwelue @Wizarab10 Everyday on the internet, you come across people that are more hungry for success than you are

It’s crazy

[Danforth Dev & AI Automation @BigBabyDanforth]

Real example:

The COO agent prompt I built
took longer to write than the code.

Every quality rule.
Every rejection condition.
Every edge case documented.

That prompt is why the system
delivers 17 assets daily
with zero human review.

The model is the engine.
The prompt is the driver.

#Nigeria #Freelance #AIEngineering

[Danforth Dev & AI Automation @BigBabyDanforth]

Everyone debates which AI model to use.

Nobody talks about the skill
that actually determines
if your agent works.

Prompt engineering for agents
is a different discipline entirely.

Here's what changes 🧵

#PromptEngineering #AIAgents

[Danforth Dev & AI Automation @BigBabyDanforth]

3️⃣ Tool use instructions
Which tool. When.
What to do if it fails.
What to do with unexpected data.

4️⃣ Exit conditions
When does it stop?
What is success? What is failure?
Without this — infinite loops.

5️⃣ Output format
Define the data contract.
Agents passing unstructured text
to an agent expecting JSON = broken.

#LangChain #n8n

[Danforth Dev & AI Automation @BigBabyDanforth]

None of this was built
in a funded startup.
None of it required a fancy office.

All of it in production.
All of it solving real problems.

27 days of posting later —
it's no longer quiet.

#Lagos #TechAfrica #BuildingInPublic

[Danforth Dev & AI Automation @BigBabyDanforth]

12 months ago I was building quietly.

No posts. No visibility.
Just systems running in production
that nobody knew existed.

Here's everything I've built 🧵

#BuildingInPublic #AIEngineering

[Danforth Dev & AI Automation @BigBabyDanforth]

6. HUBSPOT CRM AGENT
Natural language queries
from Slack → HubSpot API.

7. DOCUMENTATION RAG SYSTEM
PDF ingestion → vector store →
always-on Slack expert.

8. INTERNATIONAL CONSULTING
Full CS ops overhaul.
AI adoption programme.
Active NDA — Europe.

#Freelance #Nigeria

[Danforth Dev & AI Automation @BigBabyDanforth]

What this taught me:

The best clients don't come
from cold pitching.

They come from being specific enough
in public that the right people
recognise you as the solution
to their exact problem.

Be specific. Be visible.
The right people find you.

#BuildingInPublic #Freelance #nigeriastockmarket

[Danforth Dev & AI Automation @BigBabyDanforth]

In January 2026 the Head of CS
at an international travel-tech company
reached out to me directly.

Not a job board.
Not a recruiter.
Direct.

Here's what happened 🧵

#ConsultingWork #AIAutomation

[Danforth Dev & AI Automation @BigBabyDanforth]

The part I'm most proud of:

An AI adoption programme
for their team.

Not just building the system.
Training them to use
Claude AI and AI-assisted tools
independently after I left.

Contractor hands over work.
Consultant transfers capability.

#ClaudeAI #AIAdoption

[Danforth Dev & AI Automation @BigBabyDanforth]

White-label B2B service.
API key per client.
Events isolated by client_id.

The infrastructure most SaaS companies
spend 6 months building internally.

I built it once.
Any SaaS plugs in.

Two screenshots. Real proof.

#Nigeria #Freelance #AIEngineering

[Danforth Dev & AI Automation @BigBabyDanforth]

Most SaaS companies lose users
not because their product is bad —
but because they message
the wrong person
at the wrong time.

I built a backend engine that fixes this.

And I have proof. 🧵

#SaaS #NodeJS #BuildingInPublic

[Danforth Dev & AI Automation @BigBabyDanforth]

The engine tracks:

→ What the user did
→ How long since they did it
→ What stage they're at
→ What they need to hear next

Then it acts.
No human in the loop.

#PostgreSQL #Railway #BullMQ