Founder Agent

I need to write a founder update

ILURA helps turn raw founder notes into metrics, lesson, risk and ask, without sounding like a generic startup newsletter.

Free to start · No account · Data Not Collected

When ILURA helps

Best for investor updates, team notes and public founder updates built from real progress.

When ILURA is not the right tool

Not for inventing traction or hiding material risk.

Reusable agent rule

Metric, lesson, risk, ask.

First proof

The update should make progress and need visible in under a minute.

Write it now

Write it on your iPhone right now.

Open ILURA, bring in your notes or draft, and get it written in your voice — on device, free, no account. It saves the rule "Metric, lesson, risk, ask.", so the next one is faster.

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

write founder update

This is the moment when a user does not need a blank AI chat. They need a role-aware answer for a specific situation: linkedin posts, public comments, launch notes, creator updates and rough ideas that need a real voice.

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: Metric, lesson, risk, ask.
  4. Review the result before sending, saving, or reusing it.
What good looks like

The update should make progress and need visible in under a minute.

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.