While you talk decisions become knowledge and to-dos become action.
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.
Jul 12Ops reviewTopicSomeone mentions mornings run late more often than the rest of the day.
- Jul 28Driver callTopic
"We keep waiting at the loading bay."
- Aug 1Run dataTopic
Delays cluster between 9 and 11 in the morning.
Aug 5Weekly reviewDecisionAdd one loader to the morning shift.
- Aug 7TodayDecision
Move the first dispatch 20 minutes earlier.
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.
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.
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.
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.
Short again? Nobody flagged this yesterday.
Today’s flow, organized on its own.
See who did what, what was decided, and what is still open.
- 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.
Markhub AI goes beyond simple summarization. It reads your knowledge and operational data to guide decisions that maximize profit.
- 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.
- 02CONTEXT
Integration with Existing Business Data
Conversations merge seamlessly with the performance records and operational data your company already tracks. No new systems required.
- 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.
- 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.
ERP only logs numbers; AI notes only transcribe text. Neither drives the decision-making and management that execution needs.
| ERPOperational systems | AI notesAI meeting notes | MarkhubOperational AI | |
|---|---|---|---|
| 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.
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.