Normalized Telegram record

Agent Loops Can Generate Their Own Follow-Up Work

A long-running workflow persists goals, evaluates progress, and creates bounded next tasks instead of waiting for a human to repeatedly say continue.

Signal contract

A long-running workflow persists goals, evaluates progress, and creates bounded next tasks instead of waiting for a human to repeatedly say continue. This dated record adds public evidence to the goal scoped loops replace manual continuation analysis and keeps the claim auditable as the underlying products and practices change. Novelty: notable. Verification: source-linked.

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Observation

A long-running workflow persists goals, evaluates progress, and creates bounded next tasks instead of waiting for a human to repeatedly say continue.

Why it matters

This dated record adds public evidence to the goal scoped loops replace manual continuation analysis and keeps the claim auditable as the underlying products and practices change.

Entities

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Provenance

This public record is an English normalization of QWG AI Telegram message 2482. The complete original-language post remains the canonical raw message.

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  1. 01patternGoal-scoped loops replace manual continuationPattern connected to this observed signal.
  2. 02topicLong Running Agents - New RuntimeExplore the long running agents topic hub.
  3. 03topicLoop Engineering - New RuntimeExplore the loop engineering topic hub.
  4. 04related materialClaude Code Goals Turn Completion into a Verifiable ContractShares goals and long running agents.
  5. 05related materialLoop Engineering Treats the Agent as a Process, Not a PromptShares loop engineering.

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