xAI introduced /goal yesterday, a new mode for its Grok Build coding agent designed to cut down on the constant back-and-forth that AI-assisted coding sessions usually demand. Instead of stopping for approval at every step, users give the agent a single objective, such as migrating an authentication module to a new API, and it works through the job unsupervised until done.

The agent first sketches out its approach and turns it into a checklist, then works through it unsupervised, verifying its own progress as it goes by running scripts, checking code or examining web pages. Developers aren't locked out while this happens; instructions can still be sent through mid-task to redirect the work.

A handful of companion commands give oversight without breaking the flow: status to check progress, pause and resume to control timing, and clear to abandon the goal altogether. Once finished, the progress panel marks every item on the checklist as complete.

The feature is live now in Grok Build, installable via a one-line command from xAI.


Garbage In, Garbage Faster: Why Agentic AI Exposes Your Organisational Debt
If Agentic AI follows your documented processes, what happens when those processes don’t reflect reality? Most organisations assume AI will figure things out. Business Architect Laura Van Weegen argues the opposite: AI doesn’t create new problems — it removes your ability to ignore the ones that have existed forever and a day. Undocumented workflows, undefined decision ownership, and human workarounds masking broken systems all get amplified at machine speed. You’ll learn: • Why “garbage in, garbage faster” is the real Agentic AI risk • The critical difference between feeding AI data versus information • How process debt compounds the same way technical debt does • Why exception handling is the new decision design priority • What one conversation reveals more than most AI readiness assessments • How to build explainability in from day one Key topics: Agentic AI readiness • Information architecture • Process debt • Data vs information • Contextual blindness • Decision ownership • Explainability vs traceability • Semantic infrastructure • Exception handling • Organisational accountability • Workflow documentation • AI governance Essential viewing for CISOs, CIOs, CFOs, and Chief Legal Officers evaluating Agentic AI deployment — before the human safety net disappears.

Share this post
The link has been copied!