Workforce

Workforce was our answer, in late 2023, for business managers who need software built but do not want to hire and manage engineers. An AI layer breaks a project into milestones and tasks, and each task goes to a vetted engineer paid per task. Our line for it was giving a business “the power of a thousand workforce, with the operational burden of a single headcount”. The client-facing summary is on the portfolio page.

The idea came straight out of our consulting work. We were watching companies spend around $78,000 on average to build an MVP, roughly half of that in development and a third in testing, and we thought AI could compress both. What we had that others did not was the consulting history and the reach into the African developer community Afrikathon had built.

How it was meant to work

1. The AI generates tasks from the project goals, then expands each into requirements, interface definitions and README docs.
2. We fork the codebase into an enterprise GitHub account, and the AI drafts domain-level code and a mock implementation with data flowing through it.
3. We split the domains into bounties for engineers, who submit against a fixed quality checklist: single responsibility, DRY, tests, SOLID for APIs, documentation, time of submission.

For engineers our pitch was no CV, no interviews and no ceremony: a GitHub profile and KYC to get in, then tasks to deliver. We planned integrations with Jira, Asana and Slack, and priced it at $199 a month plus credit packages per task.

Traction

Our proof of concept won first place and an $8,000 prize at a Soonami hackathon in 2023. We lined up two pilot customers for the first quarter of 2024 and set a $250,000 pre-seed target with a nine-month runway, with me as CEO and CTO and a co-founder on marketing.