Superscribe for ai developers
Superscribe for ai developers who want less admin and more captured work
AI Developers lose time when work moves faster than it gets captured. Superscribe helps close that gap before context goes cold.
Superscribe
Stop rebuilding work after the fact
Use Superscribe to capture the words, context, next steps, and time while the work is still happening.
AI development moves at the speed of thought. You speak prompts, narrate implementation logic, and debug with agents in a constant flow of conversation. The work gets done. The problem is capturing the value of that work. The context lives across Claude, Cursor, GitHub, Slack, and your own head. When it is time to write a ticket, update a client, or fill out a timesheet, the context is already cold. You are forced to stop creating and start reconstructing.
This is a tax on momentum. Every minute spent rebuilding a narrative of what you did is a minute not spent on the next problem. Superscribe is a tool built to eliminate that tax. It is a voice layer that captures your spoken work-live-as it happens, matching it to the right project and tracking the time without you ever hitting a start or stop button.
Try it on the real workflow
Turn the next spoken note into finished work
Use Superscribe while the context is still fresh. Speak naturally, keep working, and let the output land where it belongs.
The Gap Between a Spoken Prompt and a Billable Event
The most valuable work an AI developer does is often the least visible. It is the chain of thought behind a complex prompt. It is the realization of a flawed approach spoken aloud to an empty room. It is the quick update dictated to a teammate between agent runs.
This work is real, and it is billable. But it evaporates. Traditional tools are not built for this workflow. Timers require you to remember to start them. Note-taking apps require you to switch windows, breaking your focus. Project management tools demand structured input when your thoughts are still fluid.
The result is a constant translation layer between doing the work and documenting the work. You end up with a project history that is a pale imitation of what actually happened. Worse, you end up with invoices based on a conservative guess of your hours, because guessing is faster than meticulously rebuilding your day from code commits and chat logs.
How Superscribe for AI Developers Captures Work in Motion
Superscribe works in the background, system-wide. It is not a plugin or an integration that only works in one app. It is a voice layer for your entire workflow. You are working in your favorite code editor, prompting an agent. You speak a thought, a note, or the prompt itself. Superscribe captures the audio, transcribes it, and-this is the important part-associates both the text and the time with the correct project.
This works through semantic matching. The tool learns from the words you use, the applications you are in, and the documents you have open. It quickly figures out that when you mention “the auth module” and “JWT tokens” you are working on Project Phoenix. The time you spend dictating is automatically logged to that project. There is no manual tagging or project switching. You just work and speak. The admin takes care of itself.
Reclaim your workflow
Make Agent-Assisted Coding Billable Proof
Your spoken prompts and implementation notes are valuable work. Superscribe turns them into a concrete, time-tracked record you can use for invoices and project hand-offs.
I Built This Because I Was Losing My Own Billable Hours
I built Superscribe because I got tired of guessing my hours at the end of every month. As a developer, my work was scattered. I would look through emails, Claude transcripts, code, chat messages and random notes trying to remember what I actually did. The numbers were never right and I knew I was losing money.
Three years ago I had the idea for a phone app that could automatically catch client calls. It seemed too hard at the time, so I put it aside. I kept building other voice tools, and each one taught me something new. The real shift happened when I added automatic time tracking to the main desktop app. I suddenly saw the missing piece. The value was not just in capturing calls, but in capturing any spoken work, anywhere.
The best proof came on a flight. I made normal business calls with my regular phone number over the plane’s Starlink Wi-Fi. The calls got written down, cleaned up, turned into structured output and sent straight into my work system. Agents then handled the next steps without any input from me. That used to be just a wish. Now it is how the product works.
This is the tool I always wanted for my own coding and consulting. You speak. Clean words appear right in the app you are using. The time, notes and next steps happen by themselves in the background. No timers. No guessing. Just good work that gets counted. It is for coders, consultants, and anyone who wants to stay in creation mode instead of doing paperwork later. This is what I made for myself. Now it is here for you too.
A Practical Voice Layer for Prompts, Tickets, and Updates
Think about your actual daily workflow. It is not a series of clean, well-defined tasks. It is a messy, creative process. Superscribe is designed for that reality.
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Prompting and Iteration: You are refining a prompt in Cursor or a similar tool. Instead of just having the final version, you can dictate your thought process. “Let’s try rephrasing the objective to focus on JSON output. Add a constraint for nested objects.” Each dictated iteration is captured and time-stamped. You now have a full, billable history of the creative work.
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On-the-fly Ticketing: You are deep in a coding session and spot a bug. You do not want to lose your flow by switching to Jira or Linear. You just press a hotkey and say, “Linear ticket, bug, the checkout process fails on mobile when a discount code is applied.” The text is captured. The time is logged. You can process it later without breaking stride.
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Client Communication: You finish a small feature. You dictate a quick client update: “Slack to Project Phoenix channel, the new API endpoint for user profiles is live on staging. It includes the updated avatar field.” That communication is work. With Superscribe, it becomes a logged, billable event tied to the project.
Stop the admin waste
Stop Rebuilding Work After the Fact
Use Superscribe to capture the words, context, next steps, and time while the work is still happening. Connect it to your system and let agents handle the rest.
Frequently Asked Questions
Does this integrate directly with Cursor or Codex? No, and that is a feature. Superscribe is a system-wide voice layer. It works in any text field in any application. This is more robust than a brittle, single-app integration. It captures your voice input wherever you happen to be working, from your code editor to your browser to your terminal.
How does it know which project I am working on? It uses semantic project matching. As you dictate, Superscribe analyzes the content of your speech, the active application, and open document titles to automatically associate the time and transcription with the correct project. It gets more accurate the more you use it.
Is this only for English? No. Superscribe supports many languages and includes automatic language detection. You can switch between languages in your natural workflow and the transcription will adapt automatically.