Use cases

Real work, minus the re-explaining.

Pick the kind of work you do. Each example is a real moment, with the exact steps your agent takes without Total Recall and with it, measured on real sessions.

No commands. You ask the way you'd ask a teammate who was in the room, and often Total Recall surfaces it before you ask. Everything below is grounded in your agent sessions and the docs you ingest.

Engineering

Catch me up on this branch. Where it stands, what changed and why, and the exact step you had planned next.
What did we decide here, and why? The choice behind the code, the reasoning, and the approach we ruled out.
Reconstruct what broke, and the fix that stuck. The last time this failed: the root cause, and the fix that actually held.
Who owns this, and what should I know? What it does, the decisions behind it, and the landmines before you touch it.

Research & Analysis

Everything I have found on this, in one brief. Every scattered session and doc on the topic, pulled into a single picture.
Pick up the research where I left off. Weeks of separate sessions, traced into one continuous thread.
The sources I already vetted. The references I leaned on before and why they made the cut, so I do not re-vet them.

Writing & Content

What I have already published on this. Every take I have put out on the topic, so the next piece builds instead of repeats.
Draft it from what I actually shipped. The real material of the work, handed over so I start from something, not a blank page.
Write it in the voice I have established. My actual phrasing and approach from past work, ready to reuse.
Pull the case study out of what happened. The real story and the evidence behind it, reassembled from the work itself.

Operations

The picture of everything this week. What moved, what stalled, and what needs you, across everything you are running.
Draft the update from what actually shipped. The real shipped story, pulled from the work instead of memory and vibes.
Why did we really change direction? The intent behind the call: who pushed, what we passed on, what we optimized for.
What is still open and waiting on me? The loose ends and pending decisions, ranked by where you actually left them.

Time saved

Stop re-explaining your project to your AI every morning.

The token numbers above are really time numbers. Every re-read session, every re-explained decision, every scroll through last week's threads is minutes of your day spent rebuilding context your agent should already have.

The morning catch-up

Start at full speed.

Without memory, every session opens with the same ritual: re-explain the project, the constraints, and where you left off. With Total Recall, your agent already knows. You ask one question and get to work.

The archaeology dig

Never re-read old threads to find one decision.

The answer to "why did we do it this way?" lives in a session from two weeks ago. Instead of scrolling through old transcripts to find it, your agent pulls the decision, with its reasoning, in seconds.

The cold restart

Pick up cold projects warm.

Days or weeks away used to mean an hour of reconstruction before real work could start. Now the project's whole thread comes back in a single question, in the state you left it.

This repeats several times a day, on every project you run. Each card above shows the measured token savings for one run of one task. The time saved is the part you feel: the context rebuilding disappears, and the work starts where the work is.