ViBe

AI tools fail not because of bad models, but because of missing context. This episode breaks down why your implicit business knowledge is the real gap — and how to fix it before you ever touch the model.

Show Notes

When an AI tool returns output that's plausible but wrong, the instinct is to blame the model. But in most cases, the model isn't the problem — the briefing is. This episode of ViBe tackles the hidden discipline that separates AI tools that work in production from ones that quietly fail: the practice of making implicit business knowledge explicit before you build anything at all.

Here's what the episode covers:

  • Why "context" is the real failure point — AI agents work only with what they're given; the institutional knowledge in your head never makes it into the system automatically.
  • The context audit framework — A practical pre-build exercise: document what a talented first-day hire would get wrong, and what you'd have to tell them before they touched the task. Those two lists are your system prompt.
  • Context decay — Policies shift, teams change, and context documents go stale. Treating your context file like a staff handbook — reviewed on a regular cadence — catches failure before it reaches customers or stakeholders.
  • The diagnostic value of the exercise itself — Writing a context document often reveals that the workflow wasn't as well understood as assumed, forcing decisions that had been quietly avoided and turning fuzzy norms into improvable rules.
  • What separates effective AI operators — It's not a superior technical setup. It's the harder, quieter work of understanding your own business well enough to explain it to something that knows nothing about it.

These principles apply whether you're configuring custom internal tools for your team, deploying AI employees across a workflow, or thinking about how workflow automation fits your operation. The technology is only as good as the context you feed it. More from the show: if your agents are doing well at the start of a task but falling apart before the finish line, don't miss Why Your AI Agent Keeps Failing Mid-Task (And How to Fix It).

VB.co

What is ViBe?

Building the connective tissue of a modern business software stack — shared identity, module boundaries, tenancy models, and the integration decisions that are cheap now and expensive later.

Each episode takes one architectural decision — where a tenant boundary belongs, how modules should hand off a signed-in user, what to share and what to duplicate — and reasons through the consequences a year out. Written for platform engineers and architects designing systems other teams will build on. Five or six minutes, one decision, no framework advocacy.

Topics include tenancy models and boundaries, shared identity and single sign-on between modules, what to share versus duplicate, module contracts and versioning, migration paths, and integration decisions that are cheap now and expensive later.

Produced by ViBe. Full details, services and further reading at https://vb.co