Cases
AI creates more than one kind of pressure.
Start with the situation that feels familiar. Each case shows the burden, the Dwi response and the limits that still remain.
Read a case
Choose the pressure that feels familiar.
When the agent expands work you already know
- Human situation
- You can judge the work, but continuous supervision still consumes attention.
- Primary question
- How can a known task keep its original finish line?
- Primary module
- Lean
- Reading time
- 6 min read
- Audience
- Already operating
- One limitation
- Clear scope cannot choose the right product trade-off for you.
When more information leaves less understanding
- Human situation
- You know enough to ask, but not enough to judge every confident claim.
- Primary question
- How does more information become more understanding?
- Primary module
- Evidence
- Reading time
- 7 min read
- Audience
- Starting out
- One limitation
- A clean source trail cannot make unsupported evidence sufficient.
When everything is new, start with a map
- Human situation
- You need a foothold before you can tell which detail deserves attention.
- Primary question
- What is the smallest useful map for a new subject?
- Primary module
- Conduct
- Reading time
- 5 min read
- Audience
- Starting out
- One limitation
- Orientation is not expertise or permission to act.
Place stronger reasoning where it pays.
- Human situation
- Arc is model-agnostic. A strong reasoning model can shape the plan and integrate bounded execution cells.
- Primary question
- When does another lane reduce total work instead of adding coordination?
- Primary module
- Arc
- Reading time
- 6 min read
- Audience
- Operating professionally
- One limitation
- Savings appear only when cell scopes are clear, retries controlled and integration does not erase the savings.
Fewer repeated reads.More deliberate work.
- Human situation
- Token efficiency comes from scope, reuse, model role, evidence order and stopping, not one trick.
- Primary question
- What did reuse, retries and coordination actually cost?
- Primary module
- Budget
- Reading time
- 6 min read
- Audience
- Operating professionally
- One limitation
- Cached input is evidence of reuse. It is not automatically a monetary saving, and lower-cost retries can cost more than one reliable run.
The work does not approve itself.
- Human situation
- A fluent answer may still contain unsupported assumptions, incomplete validation, invented citations, stale information, hidden failures or scope changes.
- Primary question
- What was actually checked before the answer is accepted?
- Primary module
- Evidence
- Reading time
- 6 min read
- Audience
- Operating professionally
- One limitation
- No operating layer can make a weak artifact strong without a real validation path and human judgment.
Begin with the pressure you recognise.
These are not promises of automatic improvement. They are bounded reading paths for comparing a familiar pressure with an operating response you can test.
Dwi by thienhoc
Choose one reversible question.
Read one case, try one module and keep the decision yours.