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Pairly vs WhatsApp platforms vs Picking & Packing app

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

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In common

  • Shared stack: none in common
  • Order: WhatsApp platforms (2018 – 2022) → Picking & Packing app (2025 – 2026) → Pairly (Jul 2026 – present)

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Pairly ›

An AI-native operating system for founder-led teams

WhatsApp platforms ›

Altur, Harambee and eButler on the WhatsApp Business API

Picking & Packing app ›

A Kotlin warehouse app for fulfilment teams

At a glance

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
Role
Lead, Smart Kitchen Co
When
2025 – 2026
Length
1 yr
Status
Delivered
Type
Mobile

The problem

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.
An Android app that drives picking and packing for warehouse and fulfilment operations.

What was built

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
  • FastAPI
  • PostgreSQL
  • Redis
  • Next.js
  • React
  • Azure
  • LangChain
  • Docker
  • Python
  • Django
  • WhatsApp Business API
  • Infobip
  • Twilio
  • Kotlin
  • Android

Highlights

  • 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
  • Led architecture and development
  • Built in Kotlin for warehouse floor use

Infrastructure choices

  • PostgreSQL
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Outcome

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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