Just talk, and the work moves.

While you talk  decisions become knowledge and to-dos become action.

Hub Call started
Hub Call0:00VIDEO3
[1:02] Tomorrow's channel orders just landed. Three files, three formats.
xlsxwalmart_0816.xlsxcsvtarget_0816.csvpdftraderjoes_0816.pdf

Connects with

  • Claude Code
  • Codex CLI

Connect Claude Code or Codex on your computer and it runs the work directly. Pick the model and reasoning level, then let it work the tickets.

Built-in models

  • Gemini
  • Claude
  • GPT
  • Qwen
  • DeepSeek

Topics, decisions and to-dos from every conversation become tickets automatically. You pick the AI model for each feature.

Chat, calls and meetings flow into one stream. Topics, decisions and to-dos get organized in real time, and your connected local agent does the work.

Team context

The more you talk, the more context your team keeps.

Meetings, calls, chats and ops data, connected. What happened, why it happened and what was decided, all in one place you can pick up from.

  1. Mark
    Jul 12Ops reviewTopic

    Someone mentions mornings run late more often than the rest of the day.

  2. Jul 28Driver callTopic

    "We keep waiting at the loading bay."

  3. Aug 1Run dataTopic

    Delays cluster between 9 and 11 in the morning.

  4. Evan
    Aug 5Weekly reviewDecision

    Add one loader to the morning shift.

  5. Mark
    Aug 7TodayDecision

    Move the first dispatch 20 minutes earlier.

Morning runsWaiting to loadMorning delaysCrew assignmentDispatch moved 20 min

A conversation from last month and a decision from today become one piece of operational knowledge.

Agents at work

Hand it off right where you talk. The agent does the work and brings back the result.

Press / in a thread or ticket and pick your local agent. It works directly with the projects and files on your computer, and leaves the result as a to-do, a note or a file.

Not an AI that only explains. It does the work in your own environment.

Store App Chat
A
Avanow

PR checks got slow since yesterday. Every push waits almost half an hour.

Write a reply or press / to call an agent

The result comes back here

Docs, HR requests and research go through the same /.

Connect once, keep using it.

Connect it once on the computer that does the work. After that it reconnects on its own when you log in.

Hand off work from anywhere.

The work runs on your computer, and you send the request from Markhub. Call the agent in a chat or ticket, or make it the owner of a to-do.

No files to upload.

The agent works on your computer and brings only the result back to Markhub.

The agent runs it with the context you already talked through.

Each piece of work stays in one session. Decisions and to-dos don't get mixed up, so an agent can pick it up and keep going.

Your first message becomes a session.

Start it as a chat, a to-do or a note. Whichever you pick, it continues inside one work context.

ChatTo-doNote
Tomorrow’s channel orders just landedLive Context
Mark1:02Three files, three formats.Evan1:03Got it. Checking now.Mark1:04Ops Agent, take all three and give us one view.Ops Agent1:04Reading them now.Ops Agent1:06One order sheet. 2,500 lb ready to cut.

That session becomes a ticket when it needs to.

Add an owner and a due date. The conversation and the decisions behind it come along.

Tomorrow’s channel orders just landed
Mark1:02Three files, three formats.Mark1:04Ops Agent, take all three and give us one view.
Convert to to-do
Not startedIn progressDonePendingNot startedIn progressDoneTomorrow’s channel orders just landed
DateDue today
OwnerSam’s local agenton Sam’s computer
ApproverEvan
Comments
Mark1:02Three files, three formats.Mark1:04Ops Agent, take all three and give us one view.
Mark1:26changed status fromNot startedtoIn progressSam’s local agenton Sam’s computer1:31One order sheet. 2,500 lb ready to cut.order-sheet.xlsx · 3 files merged

Nothing is mixed together, so the AI actually understands.

Each session holds one piece of work. That is what lets the AI tell, in real time, what is being discussed, what has been decided and what is left.

Mark

Short again? Nobody flagged this yesterday.

Live Context
TOPICS
No topics tracked yet.
DECISIONS
No decisions made yet.
DRAFT TO-DOS
No to-dos extracted yet.

Today’s flow, organized on its own.

See who did what, what was decided, and what is still open.

Team flowRefresh
Thu, August 16TodayMonthly
AI briefing
Shortfall absorbed by Target, clamshell lot pulled before the truck
  • Mark took the shortfall call and set the Target trim, then approved the packing split.
  • Evan consolidated four channel order files and raised the clamshell seal failure with the supplier.
  • Sam re-packed 40 Walmart cases before the eleven o’clock truck and flagged store 3 again.
Overdue 3 Due today 4
Topics
113
Decisions
3
Actions
31
Done
8
Active time16h 50m
Members
Talk → Context → Decision → Outcome

Markhub AI goes beyond simple summarization. It reads your knowledge and operational data to guide decisions that maximize profit.

  1. 01TALK

    Natural Team Conversations

    You never have to address an agent. AI picks up the calls, meetings and field audio your team already has, and prepares what comes next.

  2. 02CONTEXT

    Integration with Existing Business Data

    Conversations merge seamlessly with the performance records and operational data your company already tracks. No new systems required.

  3. 03DECISION

    Root Cause Analysis & Actionable Decisions

    AI pinpoints root causes from conversation and data, automatically proposing next steps and assigned owners that maximize both profitability and operational efficiency.

  4. 04OUTCOME

    Compounding Operational Memory

    Decision logic is saved as organizational memory, permanently eliminating repeated inefficiencies.

Conversation reveals the cause. Data provides the proof. Only by connecting both can you identify inefficiencies in real time and act immediately.

Why Markhub

ERP only logs numbers; AI notes only transcribe text. Neither drives the decision-making and management that execution needs.

ERPAI notesMarkhub
Quantitative operational data analysisRevenue · performance · metrics
Field conversation and context analysisCalls · meetings · chat
Understanding what happenedOutcome
Understanding why it happenedContext
Automated action items and owner assignment
Institutionalizing decision logic

No need to replace your existing tools. Markhub integrates on top of your current stack, analyzing data and conversations together.

Don't toss out the tools you use. They become part of the mark·hub too.

No need to break your flow. Keep going as you were.

Era of Execution

Teams don't need more summaries. They need execution.

A summary ends when you finish reading it. Execution stays. In Markhub, people and AI agents pick up work from the same queue.

Conversation becomes the team’s execution.

Summary apps, todo apps, every kind of productivity tool. There's so much for a person to do. And so much to learn. In Markhub, just talk.

Communication → Execution.