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man aliuyar.help

ways i help

I help teams get out of demo-land: what is actually broken, what needs evidence, and what should probably be simpler before anyone adds more AI.

mode.01

Reality Check

For teams with an AI workflow that looks promising but feels a bit too fragile to trust.

[ typical outcomes ]

  • › A clear view of what is actually risky, not just what is loud.
  • › A short list of what to fix now, what to ignore, and what to stop pretending is fine.
  • › A next step that does not require a religious debate about architecture.

mode.02

Implementation

For teams that know roughly what they want, but need the workflow to stop being a pile of clever exceptions.

[ typical outcomes ]

  • › Workflows with fewer magic corners and better failure boundaries.
  • › Checks, evals, and traces built into the thing itself.
  • › A handover that does not require archaeology three weeks later.

mode.03

Advisory

For teams deciding whether to build, cut, simplify, or move the problem somewhere less painful.

[ typical outcomes ]

  • › Clearer decisions before the team spends another month polishing the wrong layer.
  • › Less confusion about where AI helps, where it hurts, and where plain workflow design wins.
  • › Product judgment that builders can use and decision-makers can understand.

how i work

// not a consultancy machine. just useful help when the problem is real.

  1. i. Understand the problem.

    Find the actual constraint, not the impressive-looking symptom around it.

  2. ii. Keep the scope tight.

    Keep the loop small enough that the team can learn something real.

  3. iii. Leave something useful.

    Leave behind something inspectable: notes, checks, decisions, or a cleaner system.

// if this seems relevant, the easiest way to start is an email on the /contact page.