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Where does Claude usually fail on long tasks?
WTF is a dynamic workflow? : A dynamic workflow is a custom task process Claude Code creates on the fly.
Instead of one Claude doing everything in one chat, it can split the job into smaller agents, verify results, compare options, and keep going until the stop condition is met.
Imagine your app has a bug that only appears sometimes.
Login works all morning.
Then once, it breaks.
You try again.
It works.
Developers call this a flaky bug or flaky test: something that passes most of the time, but fails randomly enough to waste your day.
If you ask Claude Code to fix it like a normal bug, it may run the test a few times, find one possible issue, patch something, and say done.
But the real task is not:
fix this bug
The real task is:
make the bug happen againfind a few possible reasonstest each reasonreject the wrong guesseskeep going until one reason explains the failure
That is a lot of structure for one messy chat window.
This is where Claude Code's new dynamic workflows become interesting.
Claude can now build a custom workflow for the task.
One agent can inspect logs.
Another can check the files. Another can test a theory. Another can verify the final answer.
Same Claude Code, but the work is split properly.
I am Alex, welcome to ShortCu8 by Innov8.
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⭐Today's Shortcut
Ask Claude Code to make a workflow when the task has:
many items
multiple possible answers
facts that must be checked
a loop that should continue until done
separate parts that need clean context
Skip workflows for tiny edits, simple bugs, and quick explanations.
They can use more tokens, so do not turn every task into a five-agent drama.
Why One Chat Breaks
There are three failure modes.
Agentic laziness: Claude stops early after partial progress.
Example:
Review these 50 security issues.
It may handle 20 well and still write a confident summary.
Self-preferential bias: Claude likes its own answer.
If the same chat writes the solution and judges it, the review can become soft.
Goal drift: long sessions lose the original instruction.
After many turns, small rules like "do not change the public API" or "verify every source" can fade.
Dynamic workflows help because each subagent gets a smaller job and cleaner context.
5 Patterns To Know
1. Fan-out and synthesize
Split one big task into many smaller tasks, then merge the results.
Use it for claim checking, large reviews, research, or refactors.
2. Adversarial verification
One agent works. Another tries to prove it wrong.
Use it for security analysis, technical claims, code review, and factual reports.
3. Tournament
Many agents try the same task. A judge compares the outputs.
Use it for names, titles, strategy options, designs, or ideas where taste matters.
4. Loop until done
Do not stop after one pass. Keep going until there are no new errors, no new findings, or the test passes.
Use it for flaky bugs, triage, research, and verification.
5. Classify and act
Sort items first, then route each item to the right action.
Use it for support tickets, resumes, incidents, bug reports, and backlogs.
Beginner Examples
Try prompts like these:
Use a workflow to verify every technical claim in this draft against the codebase.Use a workflow to go through my last 50 sessions and find corrections I keep making. Turn the useful ones into CLAUDE.md rules.Use a workflow to rank these resumes for a backend role and double-check the top ten.Use a workflow to tear apart this business plan from investor, customer, and competitor perspectives.For support triage, add one rule:Agents that read public user content should not take high-privilege actions.That is quarantine: read with one agent, act with a safer agent.Copy This PromptUse a dynamic workflow for this task.
Goal:
[write the final outcome]
Context:
[paste files, notes, logs, links, or instructions]
Workflow:
- split the work into subagents if useful
- add a verification step
- compare options if needed
- use worktrees if changes should stay isolated
- loop until the success criteria are met
- keep token usage under [budget]
Success criteria:
[write what done means]
Ask me questions only if the goal is unclear.You can also ask for a quick workflow when you only need a small adversarial check.
For some Claude Code setups, the trigger word ultracode can push Claude to create a workflow.
Use With /goal And /loop
Two commands make workflows sharper.
Use /goal when the task needs a hard finish line.
Example:
/goal Do not stop until every technical claim is checked and marked pass, fail, or unclear.
Use /loop for repeated work like triage, research, or recurring verification.
Add a token budget when the task can grow:
Use 10k tokens max.
Save What Repeats
If a workflow is useful, save it.
The article says workflows can be saved into:
~/.claude/workflows
You can also distribute them through a skill.
Good workflows to save:
claim checking
code review
resume screening
incident review
support triage
flaky bug investigation
Do not save everything. Save the workflows you will actually reuse.
Now go build something great.
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