Figure out what's blocking you.
Build something you can run.

We may not build anything. We clarify whether sleep, stress load, or sustained overextension is the limiting factor, and define what recovery actually means for you. If it's useful, we define a "bad-day floor": 1 to 3 actions that still count when capacity is low.

We identify what the avoidance is protecting against (rejection, being seen, discovering you're wrong). If appropriate, we design the smallest external artifact that would resolve the uncertainty and close the loop, such as a message, request, or test.

We isolate the single unknown that actually blocks progress and design a short experiment to answer it, with a clear stop condition so uncertainty does not sprawl indefinitely.

We install a forcing constraint: a timebox, a "counts as done" threshold, or a ship-something rule that breaks the loop where thinking never converts into action.

We build only the missing structural piece at the point of failure (capture, task floor, review loop, or automation), not a full system and not a new workflow religion.

We identify what you actually want leverage on (thinking, writing, decisions, planning, hard conversations, learning, execution) and run a few narrow, real tasks to see where AI reduces friction vs adds noise.

We build practical AI literacy: what it's doing, what it cannot do, where it predictably fails, and how to recognize "sounds right but isn't" in your domain.

We set up the environment and verification loops so outputs become runnable/actionable (e.g., Python environment, dependencies, repo/notebook structure, basic tests/checks).

We reset its role away from authority/decision-maker/therapist-replacement and toward what it can reliably do for you (generate options, draft, translate, compress, rehearse), with explicit rules for when you must verify or rely on your own judgment.

We surface what choosing would force you to face (exposure, rejection, loss, identity cost) and design a small, safe external move that breaks the safety loop without requiring certainty.

We isolate the single unknown that would change the decision and set up a direct way to get that signal (one conversation, one test, one constraint check), then stop.

We move the decision out of abstraction by testing a small slice of one or two options so the choice starts coming from lived feedback, not comparison.

We use a simple scaffold (for example, a short decision worksheet or AI-assisted prompt) to turn the question into a concrete experiment with a clear next action and review point.

We convert it into a bounded commitment with an explicit end date, so you can act without pretending this choice defines you forever.

We slow down long enough to clarify what you genuinely believe now, so you're not trying to ship something that represents an earlier or aspirational version of you.

We find what's being implicitly claimed (certainty, capability, promise, identity) and downgrade the claim to what you can honestly stand behind today (observation / hypothesis / question / draft / experiment).

We identify what the ship requires that you can't yet execute reliably (skill, reps, support, time), then shrink the commitment so the next move matches your actual capacity.

We don't "push through." We change the exposure surface: ship to the smallest real audience that still creates reality contact (one person, a small group, a constrained channel), so you get signal without detonating your nervous system.

We define "good enough" in plain terms (what must be true / what can be rough / what can be wrong), then ship the version that clears that bar on schedule, not when it feels good.

We ship, then run a tight post-ship integration pass: what happened in your body, what assumptions were wrong, what you now believe, and what the next smallest honest move is.