---
schema: 1
type: term
title: '**the problem of time travel**'
description: >-
  **The problem of time travel** — as Pedregal frames it — is the design
  challenge that arises because AI agents take time to do their work, so the
  moment a task is kicked off and the moment its result is checked are
  disconnected; the right answer must arrive at the exact moment the user needs
  it, not when the agent finishes.
canonical: >-
  https://liquidgold.cc/channel/everyinc/explore/term/the-problem-of-time-travel-e6a8e3383be3
markdown: >-
  https://liquidgold.cc/channel/everyinc/explore/term/the-problem-of-time-travel-e6a8e3383be3.md
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# \*\*the problem of time travel\*\*

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/the-problem-of-time-travel-e6a8e3383be3

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

**The problem of time travel** — as Pedregal frames it — is the design challenge that arises because AI agents take time to do their work, so the moment a task is kicked off and the moment its result is checked are disconnected; the right answer must arrive at the exact moment the user needs it, not when the agent finishes.

In the conversation with Granola CEO **Chris Pedregal**, “the problem of time travel” is the name Pedregal gives to a fundamental design challenge for AI agents: agents take real time to work, so **the moment you start a task and the moment you check the result are disconnected** [^b241b253-ce39-55fe-8d0d-8b79bea28e90@2099]. While the agent is off doing the work, you are no longer standing at the point in your workflow where the answer is useful — as if the answer had to “travel” through time to reach you when you actually need it.