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Joel Transport vs Pairly vs WhatsApp platforms

The problem, what was built, the stack and the outcome, next to each other.

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In common

  • Shared stack: Python
  • Both kinds of work: Platform
  • Order: WhatsApp platforms (2018 – 2022) → Joel Transport (Dec 2022 – May 2023) → Pairly (Jul 2026 – present)

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Joel Transport ›

Online booking platform on AWS

Pairly ›

An AI-native operating system for founder-led teams

WhatsApp platforms ›

Altur, Harambee and eButler on the WhatsApp Business API

At a glance

Role
Lead Engineer
When
Dec 2022 – May 2023
Length
6 mo
Status
Live
Type
Web, Platform
Role
Founder / Lead Engineer
When
Jul 2026 – present
Length
4 mo so far
Status
In progress
Type
AI, Web, Platform
Role
Lead engineer, Mmogo Media
When
2018 – 2022
Length
4 yr
Status
Delivered
Type
Platform, AI

The problem

Centralised the customer journey and operational data, reduced manual hand-offs and set up a documented AWS foundation.
Small teams stitch together disconnected tools for websites, customer communication, content, analytics and operations, while generic AI assistants lack safe access to business context and actions.
A WhatsApp-based job platform (Altur), Harambee Youth Accelerator's move from a mobisite to WhatsApp, and eButler's WhatsApp ordering with payments through Flash.

What was built

Led architecture and hands-on engineering for an online booking platform: Python APIs and the AWS deployment architecture, integrated with Paystack, Sage Accounting, Zoho Bigin and Zoho SalesIQ.
Pairly gives each business one governed platform where specialised agents can work across those functions. It combines tenant-scoped AI agents, websites and CMS, CRM and communications, newsletters, analytics, integrations and a skills marketplace.
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Stack

  • Python
  • AWS
  • Paystack
  • Sage
  • Zoho
  • Python
  • FastAPI
  • PostgreSQL
  • Redis
  • Next.js
  • React
  • Azure
  • LangChain
  • Docker
  • Python
  • Django
  • WhatsApp Business API
  • Infobip
  • Twilio

Highlights

  • Python APIs and AWS deployment architecture
  • Paystack, Sage Accounting, Zoho Bigin and Zoho SalesIQ integrations
  • Tenant-scoped agent runtime with durable memory, model routing, typed tools and permission ceilings
  • Streaming agent UX with human approval gates, audit events and token budgets
  • Installable skills marketplace with automated validation and human publication review
  • End-to-end features spanning API, CMS, renderer, email and PDF output
  • Conversational journeys on the WhatsApp Business API
  • Payments via Flash, Paystack and MTN MoMo

Infrastructure choices

  • AWS
  • PostgreSQL
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Outcome

Centralised the customer journey and key operational data, reduced manual hand-offs and established a documented AWS foundation for future development.
A broad working platform with multi-tenant permissions, real-time agent execution, publishing and revision workflows, provider integrations and installable skills, with approval gates, audit events and human review for consequential AI actions.
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