Smart Loop
Smart Loop is a workflow, not another plug-in
Smart Loop is the workflow:
Make the work clear. Send the note with context. Improve the note from the result.
Smart Plugins make that workflow easier inside Obsidian, but the workflow is not limited to one plug-in.
Use your preferred chat provider, model workspace, agent, or AI tool.
Smart Chat can help keep the thread attached to the note. It does not replace the chat tool you already use.
Why Smart Loop exists
AI made it easier to start work.
It also made it easier to scatter work.
A normal AI workflow often looks like this:
- the request is in a chat tab
- the source material is in your notes
- the next step is in your head
- the answer is somewhere else
- the next time you work on it, you rebuild the context again
That is not real delegation.
That is fragmented prompting.
Smart Loop gives the work a durable home. A single note holds the assignment, context, thread or result, review, next step, and deliverable.
The AI helps with the work. The note stays where the work can be inspected, improved, and reused.
The simple idea
Start with a single real note.
Use that note to make the work clear enough that you could judge the answer.
Send the note with the smallest useful context.
Bring the answer back to the note.
Review it.
Improve the note.
Now the next AI request starts from a clearer place.
That is the loop.
Make the work clear -> Send the note with context -> Improve the note from the result
Smart Loop is easiest to understand as behavior first:
| Move | What you do | What changes |
|---|---|---|
| Make the work clear | Write the outcome, constraints, and useful context in a single note. | You and AI can understand what the work is trying to become. |
| Send the note with context | Copy or package the note and the smallest useful supporting context. | AI starts from the work item, not a blank prompt. |
| Improve the note from the result | Review the output, keep or link the thread, and update a trusted section of the note. | The next pass starts stronger. |
After the behavior makes sense, the short name is:
Clarify -> Delegate -> Compound
Clarify means the work is clear enough to judge.
Delegate means AI receives the assignment with useful context.
Compound means the result improves the note, the next pass, or the final deliverable.
Review checks the output.
Compound improves the next run.
Done is not when the model produces text.
Done is when the output matches your understanding, intent, and expectations.
How to know it worked
Understanding the phrase is useful.
Running the workflow is different.
You have not finished a Smart Loop just because you found a note, copied context, saved a thread, or received an AI answer.
Those are useful steps. They are not the finish line.
The loop finishes when a reviewed result improves the note where the work lives.
Update a trusted section before moving on:
- outcome
- constraints
- context
- review
- next step
- deliverable
A single section is enough.
When the note is better, the next AI request starts better.
The next AI request starts from a better note than the first one.
What the note holds
You do not need a complicated system.
Start with plain sections:
| Section | What it holds | Why it matters |
|---|---|---|
| Outcome | What this note is trying to make real. | The answer can be judged against a target. |
| Context | Notes, links, decisions, or sources that should travel with the assignment. | AI starts from grounded material instead of guessing. |
| Chat / thread | The AI conversation, thread link, or returned result. | You can come back later without hunting through tabs. |
| Review | What the output got right, wrong, or revealed. | Human judgment stays visible. |
| Next step | What should happen after this pass. | The work keeps moving. |
| Deliverable | The final or accepted output. | The useful result stays with the work that produced it. |
The note stays trusted because you choose what gets promoted.
AI output can live in a thread, draft, workspace, or review section before it earns a place in the trusted note.
How Smart Plugins make this easier
Smart Loop does not depend on a single tool.
Smart Plugins reduce the friction inside Obsidian.
| Need | Smart Plugin | What you do | What should be visible |
|---|---|---|---|
| Find useful source material while writing | Smart Connections Smart Lookup |
Preview a related result from the current note or ask a question by meaning, then drag it in or open it if useful. | A related note from your vault becomes usable. |
| Carry the right notes into AI | Smart Context | Copy the note with the assignment, or copy a selected set using only the context the task needs. | The context is intentional enough to inspect. |
| Keep the conversation attached to the work | Smart Chat | Save the thread link, active/done status, or returned result in the same note. | You can return to the same work from the note. |
Do not stop at finding a note, copying context, or saving a thread.
Those steps help.
The loop closes when the reviewed result improves the note.
Try one Smart Loop
Pick a single note that already represents real work.
Use a draft, project, decision, meeting, research question, support issue, or page you actually care about.
Then run a small loop:
- Write the outcome in plain language.
- Add a constraint that would make a bad answer obvious.
- Preview a useful related note before trusting it.
- Copy the note or the smallest useful context set.
- Ask an outcome-focused question in Chat or your current AI tool.
- Save or return the thread, link, or result to the note.
- Review the answer against the outcome and context.
- Improve a trusted section of the note.
- Repeat or ship.
A single section is enough.
Improve the outcome, constraints, context, review, next step, or deliverable.
When that happens, the work is no longer trapped in the chat tab.
A simple demo
Here is a simple example in a single note.
The topic is intentionally ordinary. The point is the workflow.
1. Capture the raw material
The note starts as a rough brief: audience, constraints, what to avoid, and what a useful result should accomplish.
2. Clarify the outcome
The rough brief becomes a clear finish line. Now the answer can be judged before AI receives the assignment.
3. Package useful context
The context bundle is visible before delegation, so the user can see which notes are being sent and keep the scope reviewable.
4. Delegate from the note
The AI thread starts from the note that owns the work. The note also shows what is waiting for review.
5. Review, improve, and save the deliverable
The reviewed result returns to the note as a finished section. The next request would now start from a better note than the first one.
Works with your preferred chat provider
Smart Loop does not require you to replace the AI tool you already use.
You can delegate through ChatGPT, Claude, Gemini, a local model, an agent, a model project, or another AI workspace.
Smart Chat helps when you want continuity inside Obsidian.
A provider thread URL can be saved into the same note. A thread can also be marked active or done when that state is useful.
That is enough to preserve continuity without claiming every message is stored in the vault by default.
The thread is not the deliverable.
The thread is something to return to while the work is still being reviewed.
The deliverable is saved or promoted only after review.
The trusted note stays trusted
Smart Loop does not mean AI automatically rewrites your notes.
AI can work inside a note before it earns a place in the trusted note.
Working inside the note creates leverage:
- package context
- delegate to AI
- review output
- keep drafts and threads visible
Improving the trusted note protects judgment:
- clarify the outcome
- add trusted constraints
- promote reviewed learning
- save the deliverable
The note stays trusted because you decide what gets promoted.
What Smart Loop is not
Smart Loop is not another plug-in.
It is not more prompting.
It is not dumping your whole vault into context.
It is not replacing every chat tool or agent workspace.
It is not asking AI to overwrite your trusted notes.
It is a durable workflow around AI work, so the thread, context, next step, and latest draft can return to the note for review.
Works with agents, projects, and model-owned workspaces
Agents, projects, and other model-owned workspaces can be useful execution surfaces.
Smart Loop is not against them.
It gives them a better starting point and a better return point.
The note remains the place where the outcome, context, review, and deliverable can be inspected by the user.
Every model, agent, project, or chat surface can start from the same human-readable note.
Close the loop before moving on
A useful answer is not the finish line.
Before moving on, use the answer to improve a trusted section of the note:
- outcome
- constraints
- context
- review
- next step
- deliverable
Even a weak answer can help.
If the answer is generic, the note may need a clearer outcome, better constraints, cleaner context, or a more specific next action.
Improve the note first. Then ask again from the better note.
Still have questions?
Read the Smart Loop FAQs.