All writings tagged with "Founders"
Notes from building an AI harness around TalonHR in Go: tool discovery, the agent loop, auth, context, approvals and failure handling. Turns out the language model is only one small part of the problem.
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.
Three weeks into Talon, the jobs are there, employers and recruiters are joining, but job seekers have been surprisingly slow to follow. We started asking why, and what we’re learning is changing how we think about the problem Talon needs to solve.
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.