Want the distance between "I wrote down the bug" and "an AI is fixing the bug" to be a single click? That's the workflow Notestream is built around: capture the thought the moment you have it, and dispatch it to Claude Code (or any AI you use) from the same place.
Claude Code changed what individual builders can ship. A bug that used to eat an evening now gets fixed while you make coffee. But most people's workflow around it still has a manual seam: bugs and ideas get noted somewhere (a notes app, a TODO comment, your memory), and separately, later, you have to remember to open a session and re-describe the work. The seam is where things get lost, and it's unnecessary.
This guide walks the loop that removes it, step by step, with real-shaped examples.
The capture-to-dispatch loop
Step one, capture at the moment of noticing. You're testing your app and spot it: the export button double-fires on slow connections. Type one line into Notestream's assistant field: "Export button fires twice on slow connections, add a debounce." Three seconds, and you're back to what you were doing.
The assistant field is one of three doors into the same system. If the bug arrived as a user email instead, forward the email to your capture address; same result. (The five-minute email setup is its own small upgrade.) Building your own tooling? The MCP API is the third door, so your scripts and other AI tools can file captures without you touching a keyboard.
Step two happens without you. Classification happens on arrival: the moment you submit, Notestream's AI reads the capture and files it as a task in the right project thread. No inbox to sort later, no folder to choose. If you captured it while working inside a specific project, it lands there.
Step three, dispatch. Open the task, assign it to Claude Code, and add any guidance you want ("it's in the export handler, keep the fix small"). The task's content travels with the assignment, so you're not re-describing the bug in a terminal an hour later. The task visibly enters a dispatched state, which means your notes app now doubles as the status board for AI work in flight.
Step four, review. When Claude Code's work comes back, the result lands on the task in your review queue. You look it over, approve it, or send it back with a revision note. Nothing silently merges into "done" without your eyes on it. Approved means done, recorded, and findable forever.
What a good capture looks like
The loop works best when you feed it what it was designed for: ideas, commitments, and deadlines, each written the way you'd brief a sharp collaborator.
"Export button fires twice on slow connections, add a debounce" is a great capture. It names the symptom, the trigger, and the direction of the fix. So are "Ship the pricing page Friday" and "Try moving the onboarding tour after the first save." What doesn't belong is a pasted forty-page spec. Notestream processes what you type or forward, and the capture unit is a focused thought, not a meeting-sized document.
Include the details that matter, because the details you write are the details that travel. If the deadline is real, put it in the capture ("debounce fix needs to land before Thursday's demo") so the deadline rides along with the task. You stay in charge of what's said; the system takes charge of where it goes.
Why routing from the record beats ad-hoc sessions
You could keep starting Claude Code sessions by hand, and for exploratory work you still will. Poking at an idea in a live session is one of the joys of building in 2026. But routing dispatches through your record has compounding advantages.
Nothing waits on your memory. The bug you noticed Tuesday gets fixed even if you don't think about it again until Friday.
Status is visible. "Which AI is doing what" stops being a mental model and becomes a list you can see, and question: ask the assistant "what's still dispatched?" or "what came back overnight?" and get a real answer with real counts.
The history survives. Six weeks later, "what did we change about the export flow?" is answerable in plain language, because the task, the dispatch, and the result all live in the record. Try asking a terminal scrollback that.
Where this sits next to your other tools
If you already track code work in an issue tracker, keep it. GitHub Issues and Linear are excellent at what they do, and public projects need a record that lives with the repo. The hub isn't competing for that job.
What an issue tracker doesn't cover is everything around the code: the marketing idea you had while fixing the bug, the pricing deadline, the promise you made a customer by email. Those are captures too, and they belong in the same record as the bug, because your week is one stream of work even when your tools aren't. Notestream is the AI notes app where all of it lands, gets classified, and becomes dispatchable.
TODO comments keep their place as well. They're good breadcrumbs for your future self inside the file. They're just not a queue that gets worked. The habit shift is small: when the thought is "this needs doing," it goes to the hub. When the thought is "future me should know this line is fragile," it stays in the code.
A central hub for your AI workflow, many destinations
Claude Code is one destination of several, and the same loop covers all of them. Writing goes to Claude. Interfaces and quick product experiments go to Lovable. Longer-running, multi-step jobs go to Claude Cowork. And when a task needs thinking before doing, open it in the in-app chat and work it through with Claude, ChatGPT, or Gemini without leaving the hub.
The pattern is the same everywhere: capture in seconds, classified on arrival, dispatched with one click, reviewed in one queue. Your stack stays flexible, because you can swap models as they improve and the hub doesn't care. Your record stays whole either way.
An afternoon in the loop
Here's what this looks like on an ordinary build day.
At 2:00 you're testing and spot the export bug; you capture it in eight words. By 2:01 it's a task in the app's project thread, and you never left the test flow. At 3:30, between calls, you open the task and dispatch it to Claude Code with one line of guidance. At 5:15 the fix is back on the task in your review queue. You read the summary of what changed, approve it, and the task closes with the whole story attached: what was noticed, what was asked, what was done.
Meanwhile the marketing idea you captured at 2:40 went to Claude for a draft, and the settings-screen sketch went to Lovable. Three pieces of work moved forward, and the total organizational effort was three short captures and three clicks.
Tomorrow, ask the assistant "what shipped yesterday?" and the answer comes back with receipts.
Your next bug report deserves better than a TODO comment. Try it free at notestream.ai.