Founder Agent

I need to write a decision memo

ILURA helps structure a decision memo around context, options, tradeoffs, recommendation and owner.

Free to start · No account · Data Not Collected

When ILURA helps

Best when a repeated decision style should become a reusable agent rule.

When ILURA is not the right tool

Not for making the decision for you without evidence.

Reusable agent rule

Context, options, tradeoffs, recommendation, owner.

First proof

Readers should understand why the recommendation is reasonable.

Fix it now

Fix this on your iPhone right now.

Open ILURA, paste the message you're dealing with, and get a reply that fits — in your voice, on device, free. It saves the rule "Context, options, tradeoffs, recommendation, owner.", so the next time is one tap.

Free to start · No account · Data Not Collected
What the problem is

write decision memo

This is the moment when a user does not need a blank AI chat. They need a role-aware answer for a specific situation: status updates, handoffs, blockers, deadline changes, meeting notes and internal decisions that need structure.

What ILURA does

Turns the answer into a private rule.

ILURA helps the user draft the immediate response, then turns the useful behavior into a saved rule for the Founder Agent. The next time the same pattern appears, the user is not starting from zero.

How to use it
  1. Open the Founder Agent or invoke it from a supported iOS surface.
  2. Paste or select only the text needed for this situation.
  3. Apply the rule: Context, options, tradeoffs, recommendation, owner.
  4. Review the result before sending, saving, or reusing it.
What good looks like

Readers should understand why the recommendation is reasonable.

If the output only sounds polished but does not preserve the decision, boundary or next step, it is not trained enough yet.

Agent path

Turn the moment into trained behavior.

This pain point should not remain a one-off prompt. In ILURA, the useful part becomes a private role rule for the Founder Agent. The user still chooses the text and reviews the output, but the correction does not reset the next time the same pattern appears.

Related reading

Read the guide behind this agent behavior.

Next pain points

Keep moving through the same user problem graph.