All writings tagged with "AI"
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.
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.
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.
AI agents are automating software development, but vague requirements lead to incorrect implementations. We must shift from traditional requirements documents and simple prompts to machine-verifiable, executable specifications to ensure accuracy.
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.