AI memory for work and learning

Meetings and lectures become memory you can ask.

MeetMind records work meetings and learning lectures, turns them into summaries, tasks, decisions, notes and key concepts, saves them into projects or subjects, and helps you ask Contexta by selected scope.

How MeetMind works with data
ContextaAsk across a meeting, project, lecture or subject
Meeting Result

Meeting result is ready

Summary, 5 tasks, 2 decisions, 1 blocker.

SummaryTasksDecisions
Project Memory

The project remembers decisions

Recent meetings, tasks, risks and open questions.

DecisionsRisks
Subject Memory

The subject remembers material

What was covered, where the gaps are and what to review.

TopicsGaps
Lecture Notes

The lecture became notes

Topics, concepts, definitions and unclear moments.

ConceptsDefinitions
Audio Capture

Audio becomes a source

A meeting or lecture enters memory as a material you can inspect.

Contexta Answer

Answer by scope

AI answers from selected materials, not from nowhere.

SummaryTasksDecisionsTopicsConceptsReview

The vanish problem

The important part usually disappears after the recording, not during it.

Decisions drift into chats, tasks stay in people memories, and lectures become long recordings. MeetMind collects meaning into project memory or learning memory.

After a meeting

decisionstays in chat
tasklives in memory
riskwas hidden between lines
next callstarts by rebuilding context

MeetMind turns material into memory you can ask.

After a lecture

lecturesits as a long recording
definitionis lost in fragments
gapappears before the exam
reviewis assembled manually

Product loop

From material to memory. From memory to action.

Record a meeting or lecture, get structure, save it into a project or subject, and ask Contexta when you need to return to the point.

01

Capture

Work

Record a meeting or upload audio.

Learning

Record a lecture, seminar or learning audio.

02

Structure

Work

Get a summary, tasks, decisions and risks.

Learning

Get notes, topics, concepts and definitions.

03

Remember

Work

Project memory updates between meetings.

Learning

Subject memory grows from lecture to lecture.

04

Ask

Work

Ask Contexta what was decided and what comes next.

Learning

Ask Contexta what to understand and review.

Work memory

The project remembers what was discussed, decided and what should happen next.

Every meeting becomes part of project memory. MeetMind helps you see summaries, tasks, decisions, risks, blockers and open questions without manual minutes or replaying audio.

After a meeting you have more than a recording. You have actions.

Project memory accumulates between meetings.

Contexta helps recover context without hunting through chats.

Project Memory

Memory snapshot

DecisionBeta in two stages
TaskPrepare the follow-up
BlockerLong audio limits
BriefShort team summary

What to ask Contexta about a project

What did we decide?Who owns what?Where is the risk?What is still open?What should we prepare for the next call?

Learning memory

The subject remembers what was covered, what matters and what to review.

MeetMind turns lectures and learning material into notes, topics, concepts, definitions, gaps and review plans. A lecture no longer stays a long recording. It becomes part of subject memory.

Do not replay an entire lecture to find one topic.

Learning memory grows with the subject.

Contexta helps you understand material based on your lectures and notes.

Subject Memory

Learning snapshot

TopicMain lecture topic
ConceptDefinition and example
GapWhat is still unclear
PlanReview tomorrow

What to ask Contexta about a subject

What were the main topics in the lecture?Explain this topic more simply.Which definitions should I learn?Where are my gaps?What should I review before the exam?

Contexta layer

Contexta does not just answer. It knows what it is based on.

Contexta works with a selected scope: a meeting, note, project, lecture or subject. In Work it helps find decisions, tasks, risks and next steps. In Learning it helps explain topics, identify concepts, find gaps and prepare review.

FindAnalyzeSuggest
Project scopeAsk Contexta across a meeting, lecture, project or subject...

Find

Work: decision, deadline, task, promise

Learning: definition, topic, example, formula

Analyze

Work: risk, contradiction, open question

Learning: hard topic, concept link, gap

Suggest

Work: follow-up, next step, questions

Learning: review plan, self-check, preparation

What did we decide about launch?

In the May 14 meeting the team decided to launch beta in two stages: closed access for early users, then a public waitlist form. Open question: long audio processing limits.

Meeting 14 MayProject MemoryDecision
What should I review from this lecture?

Review three blocks: core definitions, links between topics and the example from the middle of the lecture. Weakest area: the difference between concept A and concept B.

Lecture NotesSubject MemoryReview

Artifacts and outputs

When you need more than an answer.

MeetMind is moving from answers toward work and learning artifacts: materials you can review, send, save or use for preparation.

Work artifacts

Meeting protocol

Short minutes with decisions, tasks and open questions.

Follow-up

Draft participant message with concrete next steps.

Risk register

Risks and blockers that appeared in the conversation.

Executive brief

evolving

A compressed project overview for someone who missed the meeting.

Learning artifacts

Lecture notes

Notes with topics, concepts, definitions and examples.

Topic map

Connections between topics inside a subject.

Review plan

What to review today, tomorrow and before a knowledge check.

Exam prep questions

planned

Self-check questions for selected material.

Roadmap-safe: planned artifacts are described as a direction, not as already guaranteed automatic functionality.

Trust by design

Context is explicit. Export is explicit. Control stays with the user.

Contexta answers from materials you added to MeetMind and selected for the question. Work and Learning are separated by default. AI answers are useful, but should be reviewed before use.

Recording meetings and lectures is tied to the user responsibility to obtain the required consent. AI-generated summaries, tasks, explanations and Contexta answers may be incomplete or inaccurate.

Scope

An answer is built from the selected meeting, project, lecture or subject.

Sources

Source chips show which materials support the answer.

Boundary

Work and Learning are not mixed without explicit user choice.

Control

Export, deletion and sharing should be visible actions.

Let the project remember decisions, and the subject remember the meaning of lectures.

Record a meeting or lecture, get structure, save it to memory and ask Contexta when you need to return to the point.