Kenya celebrates its startup funding headlines, but early-stage founders face compliance, capital and procurement barriers built for mature companies. Regulation should scale with risk and size, giving young businesses room to try and fail.
Talon had the jobs, but job seekers weren't sticking around. So we asked them why. The answer: we'd built too much. Here's what we cut, what we changed, and what 24 new sign-ups taught us about doing less.
Discover how Talon built a production-grade Model Context Protocol (MCP) service to seamlessly connect AI agents with hiring workflows while strictly preserving identity, permission, and workspace boundaries.
The economics of artificial intelligence present a stark paradox: Africa is poised to become one of the world’s largest consumers of AI, yet it risks owning virtually none of the underlying infrastructure, models, or intellectual property. From data to energy, the continent is supplying the raw inputs for the global tech economy while renting the finished intelligence. Without regional compute strategies and sovereign data governance, Africa will transition from a landscape of technological opportunity to one of permanent digital tenancy.
Traditional software left a clear audit trail of hardcoded logic. Stochastic AI agents change this; they dynamically interpret context, choose tools, and execute high-consequence actions. Because prompts alone don't prove intent, engineering teams must shift from tracking execution to auditing runtime judgment—building "decision provenance" to prove exactly *why* an agent acted.
For the last two decades, many software careers began with CRUD (Create, Read, Update, Delete) applications. A junior developer would receive a ticket to build a user form, add database persistence, create an API endpoint, add validation, and render a table view. They would then repeat this cycle