Talk into your phone. KeptMind listens, sorts your thoughts into clear next steps, and nudges you only when it matters.
Brain dump mode accepts long, non-linear rambles — perfect for Sunday night inventory or post-meeting overload — then AI extracts tasks so perfectionism does not block capture. The output is multiple structured tasks from a single input session, with energy levels and dates already inferred.
After hyperfocus sessions, when you realize ten obligations surfaced. One brain dump beats ten micro captures: the sorting pipeline groups related tasks and deduplicates, which fragmented capture cannot do.
Before bed, when thoughts loop and you cannot sleep. Externalizing into voice or text lets the brain release the loop. The tasks land in Tomorrow by default — no decision required tonight.
After meetings, when six action items were assigned and one is for you specifically. Brain dump captures all six with attribution; AI sorts your action items into Today and notes the rest as context.
The AI splits the dump into discrete tasks based on shifts in topic, person, deadline, or context. A reasonable rule of thumb: one new noun phrase plus a verb usually means one new task.
Each extracted task gets an energy guess (low/medium/high), an optional due date if one was mentioned, and a category if obvious. Review the splits before they land in Today — edit titles or merge related ones with one tap.
Combine with energy match afterward. Triage the extracted list into what matters for tomorrow, not everything tonight. The dump captured the chaos; energy match chooses what gets attention next.
Same sorting whether you speak for sixty seconds or paste a messy notes app export. Choose modality based on environment, not feature limits. Speaking in a quiet space is rude; typing while walking is impossible. Both inputs hit the same pipeline.
Long voice sessions (30 to 90 seconds) work well for brain dump. The shorter twelve-second limit applies to quick capture, not brain dump mode — the modes have different tuning because the use case is different.
Pasted text dumps from notes apps, emails, or meeting transcripts go through the same pipeline. The AI is robust to formatting differences and timestamps; just paste and review.
Splits show as a preview list with checkboxes. Uncheck anything that is not actually a task. Edit titles inline if AI misheard a name. Merge two extractions that should be one task.
Approved splits land in your inbox or Today depending on parsed urgency. Nothing surprises you — the review step is the safety check before commitment.
You can rerun the dump if the splits feel wrong. Edit the source, re-submit, and the previous splits are replaced — no orphaned half-tasks. This is the second-chance pattern: brain dump in haste, refine when you have a moment, never feel locked in.
For users who like to plan visually, exported splits can flow to a Notion brain-dump database via the integration, or sit in KeptMind's own Today view. The choice is between two solid surfaces, not between a working system and a hack.
Solo brain dump is the canonical use case, but a small subset of users dump on behalf of a team — taking down meeting notes, capturing project requirements, transcribing a brainstorm. The same pipeline works for that, with the caveat that team-attributed tasks remain on the dumper's account; KeptMind does not auto-assign across users.
For team workflows, dump in KeptMind, then copy the structured tasks to your team tool (Linear, Asana, Notion, Slack). The friction of an extra paste is acceptable; the friction of typing every task by hand mid-meeting is not.