Are vibe coded apps safe enough to sell?
Yes, vibe coded software can be as safe as anything else on the market. Here is how to turn a vibe coded app into an AI-Managed App: built by AI, secured by AI, owned by a human.
AI Dispatch · Page 3
Advice to help leaders scale AI
Short, practical dispatches on scaling AI across teams and building businesses that thrive in the age of AI.
What is FOBO? Fear of becoming obsolete in the AI era
FOBO is the fear that AI will make you, your role or your business obsolete. Learn why Strategic Clarity is the antidote: choose a goal, align teams around meaningful subgoals and keep looping towards it together.
AI has made documentation cheap. It has not made clarity cheap.
AI can produce a strategy, process manual or agent specification in seconds. That does not mean the organisation has become clearer. Clarity comes from deciding what matters, resolving contradictions and expressing the result simply enough that the people responsible can understand and own it.
A knowledge base tells AI what you know. A specification tells it how to act.
Giving AI access to company documents helps it find information. It does not tell the AI which information is authoritative, what outcome matters, which trade-offs are acceptable or who must decide when the documents disagree. That requires an owned specification connected to the work.
Is this process ready for an AI agent?
A process is ready for an AI agent when the people involved agree on the part going live, the agent can tell what has been decided from what has not, and the first version is small enough to run properly from beginning to end. Technical capability alone is not readiness.
Your AI agent needs a definition of done, not a twenty-step SOP
Most AI agents do not need every movement prescribed in advance. They need a clear goal, the conditions that must be true before work begins, the result that must exist when it finishes, quality checks for the handoff and boundaries they cannot cross. Exact steps still matter, but only when order itself is part of correctness.
When should an AI agent act, and when should it ask?
An AI agent should act when the organisation has already made the decision and the situation sits inside clear boundaries. It should ask when it reaches a genuinely new decision, missing authority or an explicit exception. And it should stop when the context, authority or safety required to continue is missing. The goal is not to keep a human inside every step. It is to involve the right person at the moments where human judgement changes the commitment.
Your AI problem might actually be a management problem
An AI agent cannot resolve a disagreement the business has never resolved for itself. When people disagree about the goal, the rules or who owns the outcome, the problem is not missing technology. AI simply makes the ambiguity visible, and gives leadership the opportunity to decide how the business should actually work.
Is a spec-driven organisation just bureaucracy with AI?
It can be. If you create long process documents, lock them down and expect people to obey them regardless of reality, you have recreated bureaucracy with a new name. A living specification is different because it guides the work directly, makes unanswered decisions visible and changes deliberately as the organisation learns.
Why is AI making managers busier?
AI makes managers busier when it increases the amount of work being produced without increasing the organisation’s ability to make decisions. If every person and agent still needs the same manager to interpret, approve and redirect the work, AI sends more activity into the existing bottleneck.
What is an AI leash?
An AI leash is what you feel when an AI tool or agent keeps pulling you back every 90 seconds to ask what to do next, so instead of freeing you for higher-value work it keeps you tethered to reviewing, redirecting and re-prompting it.
When should I use each AI model?
Match the model to the shape of the work, not to the leaderboard. Reach for a frontier model like GPT-5.6 Sol or Claude Fable 5 when the path is unclear and a solution has to be discovered, a mid tier like GPT-5.6 Terra or Claude Opus 4.8 when the outcome is known but judgment is still needed, and a fast tier like GPT-5.6 Luna or Claude Sonnet 5 when the steps are defined and you just need them ticked off. The smartest model can cost five to eight times more per token, so reserve it for work that genuinely needs it.
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