Goal & completion bar
Record the problem, the deliverable, and the basis of judgment so later steps circle the same target.
XUNYE Technology · LONG-RUNNING TASKS
Long-Running Tasks
Work can span many rounds without re-explaining the progress.
Projects usually take several passes of handling material, gathering feedback, and making judgment calls. With task records and staged handoffs, XUNYE keeps finished results, open questions, and next steps — so the team and AI can continue the work.
How it runs
Across rounds, the scene of work is kept.
Plans change and tasks pause. Continuing work requires saving the goal, finished steps, staged results, and pending items — and verifying real state on resume, rather than keeping only the last stretch of dialogue.
01
Goal & plan
Deliverable bar · step dependencies
02
Retrieve & execute
Material · skills · tools
03
Check & confirm
Fix · pause · human decision
04
Save & resume
Results · open items · current state
Check failed → back to the step · awaiting confirmation → pause, saved
In practice
Every round has a clear start and handoff.
From goal to saved state, each step names its basis.
Planning & context retrieval
Break the goal into stages; pull relevant material, rules, and prior judgments, with entry conditions for each step.
Execution & checking
Call processing, retrieval, analysis, or system actions per step, then verify results; on failure, return and fix.
Progress & dependencies
Separate done, waiting-for-material, and waiting-for-confirmation, so interruption never turns unfinished into finished.
Resuming with verification
On resume, check saved results and external state first — which steps can continue, which need re-verification.
The human entry point
Where authorization, trade-offs, or missing material appear, the handoff names who decides what.
A sample handoff
The next round starts from a reliable handoff.
What a saved task state looks like in practice.
- Goal
- Deliver the revised project proposal
- Completed
- Material collected; first draft written
- Waiting
- Owner confirms implementation scope
- Kept results
- Draft, source list, difference notes
- Resume check
- Versions, scope, external records unchanged?
- Continue when
- Feedback received → revise and verify deliverables
Verification & boundaries
Know how to continue — and when to stop.
01
Done and waiting recorded apart
02
Results verified before resume
03
External actions not repeated
04
Stop conditions explicit
Records match reality
A tool call starting is not business done. Separate executing, done, failed, and awaiting confirmation — keep checkable results.
Resuming is not redoing
Check whether external systems already received the last action before retrying anything that could double-apply.
Long-running is configured, not assumed
Session handover, scheduled triggers, and resident runs are different modes; runtime, storage, alerting, and owners are set at deployment.
FAQ
Mechanisms, conditions, and boundaries.
01How do long tasks work with fixed workflows?
Stable, well-branched steps fit fixed flows; parts that must adapt to new material keep staged state and continue with AI and the owner. Both can serve one task.
02What is the difference between task records and company knowledge?
Task records say where this work stands; company knowledge keeps rules, material, and confirmed conclusions reusable across tasks. Only checked, reusable content graduates into knowledge.
03What happens when material or permissions are missing?
The gap, its owner, and affected steps are recorded. Dependent steps pause; authorized independent work continues — waiting is never recorded as done.
04Can you promise unattended 24/7 progress?
Runtime and automation depend on deployment, stability, and permissions. Continuation is not the same as unattended operation; resident or scheduled setups need explicit triggers, stops, and human response.
Make AI a force that moves your business forward.
Learn about products, discuss a project, or explore a partnership — we would love to hear from you.