A day of shipping
Every interruption takes the thread with it, and three weeks later you are digging for your own reasoning. The spec sits in Slack, in a hallway conversation and in an issue, and something falls out while you collect it.
Get early accessBefore / After
Five moments from a day spent across several codebases. Each card holds both: today, and the same day with ShogunAI in it.
Before
You are deep in a feature when a production incident takes forty minutes. Back at the editor, what you were thinking and what you meant to touch next are gone; fifteen minutes go into rebuilding it.
What it costs: Fifteen minutes of rebuilding, and the thread you were holding
After
The state just before the interruption is held: you return to “you were writing error handling for this function, tests were next.” The rebuild is not part of the day.
Before
A project you have not touched in three weeks. A function is shaped oddly and you spend twenty minutes back through Slack and PR comments reconstructing why you did that.
What it costs: Twenty minutes of excavation, and the reasoning the code never carried
After
The discussion and the decision behind it are remembered: open the file and “this shape avoids the external API rate limit — from Slack, three weeks ago.” The excavation stops happening.
Before
Mid-feature for A when B needs an emergency fix. Opening B, ten minutes go into recalling the layout, the branch you were on and what was half-done. Back in A, the thread has snapped.
What it costs: Ten minutes of reloading, and the thread in A
After
Each project keeps its state, so opening B reads “B — on the retry branch implementing the webhook, next is the migration.” Return to A and the work resumes. Nothing to load back in.
Before
A build error you have definitely seen before. You cannot recall which project it was or what fixed it, so it costs another hour to work out.
What it costs: An hour spent again, and an answer you had already found
After
Past fixes are remembered, so the same error arrives with “solved two months ago on another project — the cause was the pinned toolchain version.” No re-deriving, and the fixes you keep scattering start accumulating in one place.
Before
Before you can start, forty minutes go into gathering days of requirements from Slack, hallway conversations, issues and notes. One spec change from three days ago is missed, and the work is redone after the fact.
What it costs: Forty minutes of gathering, and the change you missed — the rework it caused
After
Days of discussion are already held, so the spec arrives structured to the level you can build from, changes included. Nothing to gather, nothing missed, and the reasoning behind each decision stays attached.
From memory to shipped work
ShogunAI preserves the reasoning behind the work, prepares the next handoff, and helps turn project context into a reviewed artifact.
Capture relevant context as work moves between research, discussion, design, and implementation.
Ask about a feature, bug, customer, or decision using the language your team already uses.
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ShogunAI
Turn that context into a brief, issue, update, or handoff for review.
Questions, answered
No. ShogunAI is a context and execution layer across your existing tools, not a replacement project-management system.
It is designed to relate work across the tools you authorize, helping you recall the discussions and artifacts surrounding implementation.
Yes. The product is designed around an individual’s private work memory, including engineers, designers, and product managers.
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See how ShogunAI connects private memory, recall, and execution.
Connect once, keep one private memory on your Mac, and let ShogunAI finish the work from there.
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