AI
Afri Formation — generative AI and automation
By Davy AGONMA — Freelance web developer & AI integrator
Problem
Content production and repetitive digital tasks were eating a disproportionate amount of time, with no method or tooling reusable from one project to the next.
Solution
A set of automated systems built during the Afri programme: Python scripts, OpenAI API calls, video generation with Veo, n8n workflows and Streamlit interfaces so every building block is usable without a terminal.
Outcome
A library of reusable workflows, which now serves as the foundation for the automation I deliver on client projects.
Similar projects
Automation & AI: lessons from this kind of project
AI projects here include support agents, CRM enrichment, lead qualification and automated editorial pipelines with human validation. The point isn't to automate at all costs, but to remove repetitive work while keeping traceability and guardrails.
This case details the stack (LLM APIs, n8n orchestration, databases) and the operational outcomes. A useful benchmark if you're assessing an internal automation project.
Written by Davy AGONMA, freelance web developer & ai integrator.