01
Type a command — Mana creates
'Open a project named 123 Website, priority high, due Dec 19. Add a Header Design task inside, assign to me.' — Mana creates the project + task + assignment in one shot; no clicking, dragging or filling forms.
Feature · Mana AI Assistant
Not an assistant — a production layer.
Mana AI is not a chatbot — it's agentic AI. Creates projects and tasks from commands, extracts actions from meetings, catches client risk early. The system intelligence that sees Managelify's project, client and calendar.
Commands
create projects & tasks
Agentic
AI · takes initiative
One flow
context across all modules
MANA AI PREVIEW
Screenshot area ready
When visuals arrive they'll fit these frames — sized and proportioned for the product UI.
Command panel & responseMeeting → action suggestionClient risk signal
Live system · Real-timeDon't just read about it —
Don't just read about it —
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PROBLEM
Context-less AI, lost actions, silent risk.
Generic chatbots don't touch your system; what's said in meetings evaporates; clients go quiet — you're stuck putting out fires instead of doing real work.
GENERIC CHATBOTS (CHATGPT ETC.)
They answer but can't touch your system. They don't create tasks, don't know your client, can't see your calendar; you re-explain context every time.
MANUAL TASK ENTRY
Meeting ends, 14 actions discussed; you spend 20 minutes clicking 'who does what' one by one. 3 tasks forgotten, 2 assigned to the wrong person.
NO MEETING TRANSCRIPT
What was said evaporates. The 'we said this' debate begins; no actions emerge, the client comes back a week later saying 'we already discussed this'.
MISSED CLIENT SIGNALS
The client's tone shifted in 3 messages, you didn't notice. Renewal date came, the client left — 'why did they leave?' has no answer.
REPETITIVE WORK DRAINS HANDS
Same reports every week, same assignments, same reminders. No time to set up automation; you became a manager of work, not a doer.
THE PLAN FALLS APART BY MID-DAY
There was a plan in the morning, you put out 6 fires by afternoon. Who sets priority? Nobody — only the loudest gets done.
One flow · WRM
Command + context + action — in one place.
Generic AI answers, doesn't touch your system. Mana sees project, task, client, calendar, file, team — and runs them together. Inside Work Relationship Management (WRM), AI is not a feature, it's the production layer.
Natural language commands
Context reading
Meeting → action
Client risk signal
Multi-agent architecture
Automation suggestions
Approved actions
Native AI quality
02
Reads context, makes suggestions
Mana reads not just your command but past delays, team capacity, client tone, calendar density. 'Design is 92% loaded, should we give this to Marketing?' — data, not intuition.
03
Pulls actions from meetings
Meeting recording + transcript is wired into Mana. 'Let's send that contract by Friday' → becomes a task; 'Ayşe will look into it' → becomes an assignment. Actions are listed pending approval.
04
Takes initiative — you approve
Soon, when you say 'prepare a web proposal for ABC', Mana reviews history, compares pricing, drafts the proposal, adds the follow-up task to the calendar. You just approve — work flows.
DEPTH
Command, context, meeting, automation.
Generic AI answers; Mana runs your system. From command to agentic decision chain, all production lives inside Mana.
CommandContextMeetingAutomationAI architectureScenariosSettings
Natural language commands
- Natural language commands (English & Turkish)
- Single command → project + task + assignment
- Auto-extraction of date, priority, label
- Multi-command chains ('do this, then this')
- Command history & re-run
- Shortcut commands (favorites)
- Slash command panel (every screen)
- Voice commands (mobile)
Context reading
- Access to project, task, client, team context
- Reads past delays & capacity
- Client communication tone analysis
- Calendar & meeting awareness
- File and contract reading
- Planning with time-tracking data
- Permission & role awareness (only what you can see)
- Multi-module context (CRM + project + calendar)
Meeting intelligence
- Automatic meeting transcript
- Action point extraction
- Who said what — assignment suggestion
- Meeting summary (single paragraph)
- Decision list (formal log)
- Open questions & follow-up list
- Next-meeting agenda suggestion
- Tone/risk warnings in client meetings
Automation & suggestions
- Template suggestions for repetitive work
- Automatic status update suggestions
- Late-task notification & rescheduling
- Weekly team & project summary
- Client renewal & risk reminders
- Invoice/quote follow-up tasks
- Onboarding/off-boarding checklist generation
- Capacity-based delegation suggestions
AI architecture & roadmap
- Agentic plan + step execution (Phase 3)
- Multi-agent architecture (analysis / planning / communication)
- MCP (Model Context Protocol) integration
- ReAct loop (think → act → observe)
- Client risk score & early warning
- Anomaly detection (permission, capacity, tone)
- Knowledge base + real-time data
- Process improvement suggestions
Use scenarios
- Freelancer · open clients & projects with commands
- Agency · brief & assignment extraction from meetings
- Startup · weekly summary + risk warnings
- Software team · sprint plan + delegation
- Customer success · renewal & tone signals
- Manager · 'what happened this week?' summary
Settings & control
- Mana voice tone (formal / casual)
- Auto-action approval level
- Data access scope (per module)
- Client data usage permission
- Meeting recording & transcript default
- Notification & suggestion frequency
- Language preference (EN / TR)
- Approval requirement for critical actions
ENHANCERS
Not just answering — managing, catching, producing.
Not a feature — a production layer
Mana isn't a bolt-on assistant; it's the production layer that sees Managelify's projects, clients, calendar, files, team. You don't re-explain context.
Works like a multi-agent team
Analysis, planning, communication, files, automation — specialized agents decide together in the background and respond with one voice: Mana.
Decisions by data — not intuition
Past delays, capacity, client tone, calendar density are Mana's inputs. 'Right person', 'right date', 'right priority' — not assumption, data.
You approve — control isn't lost
Mana never acts alone on critical actions; it suggests, you approve. Transparent log, GDPR-compliant audit trail, role-based access — control always stays with you.
Command → plan → action. You approve.
Mana reads your command, reviews history, sees the team & calendar, drafts the plan; on critical actions it always asks for approval. With Phase 3, you give a goal, it plans — you just approve. Control always with you, production speed multiplies.
Natural language commandsContext reading & suggestionsMeeting → actionApproved, auditable actions
EXAMPLE COMMAND
"Prepare a web proposal for ABC, add a 7-day follow-up task to the calendar, drop a note on the client card."
History & price analysis Proposal draft + follow-up plan Pre-send approval Apply with one click
WHO IT'S FOR
Solo to team — Mana works like a second brain.
Freelancer
Meeting's done — project, tasks, follow-ups are ready in Mana.
You just had a 30-minute brief call with a client. By the time the meeting ends Mana has opened the project, extracted 6 actions as tasks, placed delivery dates on the calendar, updated the client card. You approve, work begins — 'note-taking' dropped from 20 minutes to 2.
Agency
Works like the account manager's second brain.
10 clients, 30 projects, 80 tasks. Every morning Mana prepares 'today's risks' summary: which client went quiet, which delivery is at risk, which team is loaded. When a new brief arrives it suggests assignment to the 'right person, with the right date' — capacity decisions become data, not intuition.
Startup & B2B team
Mana standardizes your processes — you scale them.
Onboarding, sprint plans, customer renewal, weekly summary — Mana templates and runs every repetitive process. New team members onboard in 1 day; founders escape micromanagement and work on real strategy.
COMPARISON
ChatGPT, Notion AI, Asana AI — each is a piece. Mana is the system.
The table below shows the strengths of popular AI solutions and the agentic difference Mana delivers with all-module context.
TOOLSTRENGTHGAP
ChatGPT / Gemini (general)Natural language + knowledge generationDoesn't touch your system, doesn't know your project & client, doesn't create tasks
Notion AIIn-document writing helpPage-only; no CRM, calendar, team action
Asana / ClickUp AIIn-task summaries & suggestionsLimited to one module; weak meeting/client/risk context
Slack AI summariesChannel summariesCommunication only; doesn't produce actions, assignments, plans
Zapier / Make automationTrigger-based automationContext-less rule engine; no natural language + decision
Mana AI (Managelify)WRMAgentic AI · all-module context · command + suggestion + action—
CONTINUE
Explore Mana alongside Managelify's other modules.
Project Management
Mana opens projects, creates tasks, makes the assignment in a single command.
Task Management
Automatic task extraction from meetings, messages and emails.
Recording & Transcript
Meeting transcripts feed Mana's action and summary generation.
CRM
Client tone, silence, renewal — Mana catches risk signals early.
Calendar
Mana reads calendar load and suggests conflict-free dates.
Access Control
Mana only touches data you can see — control stays transparent.
FREQUENTLY ASKED QUESTIONS
Clear answers about Mana AI.
What exactly is Mana AI? How is it different from ChatGPT?
Mana AI is an agentic AI system that sees Managelify's projects, tasks, clients, calendar, files and team. ChatGPT is a general chatbot — it answers but can't touch your system. Mana opens projects from your commands, creates tasks, extracts actions, catches risks; you don't re-explain context every time because it already knows your system.
Does Mana really create tasks and projects from commands?
Yes, it works today. When you write 'Open a project named 123 Website, priority high, due Dec 19. Add a Header Design task inside, assign to me.' Mana creates the project, adds the task, reflects the date on the calendar, and makes the assignment — in a single shot. It supports natural language commands in English and Turkish; voice commands work on mobile.
Does it automatically extract actions from meetings?
Yes. Managelify Meet recordings or integrated Zoom / Google Meet / Microsoft Teams meetings turn into transcripts; Mana reads the transcript, extracts action points, suggests 'who does what' assignments, proposes delivery dates on the calendar. You approve, tasks land in the system — 'note-taking' shrinks to minutes.
Does Mana take initiative or only wait for commands?
Today it's mostly command-driven; the context-reading and suggestion layer is in development. With 2025 Q2 the agentic phase will go live: when you say 'prepare a proposal for ABC', Mana reviews history, compares prices, drafts it, adds the follow-up task to the calendar — you just approve. It will always ask for approval on critical actions; control stays with you.
Does it really catch client risks early?
Mana reads client communication, renewal dates, tone shifts and silent periods. It surfaces early warnings like 'This client hasn't replied in 14 days and the tone hardened in the last 3 messages — should we schedule a call?'. Seeing the signal before the client leaves means intervening before you lose them.
How does Mana use my data? Is it secure?
Mana only accesses data within your permissions; it doesn't show you something others can't see. Data is encrypted, GDPR and KVKK compliant, and an audit log records every AI action. Client data is never used for AI training; you set the data access scope and approval level at the organization level.
Which language model does it run on? Is the language quality good?
Mana orchestrates leading large language models — Google Gemini in particular — within Managelify context; in the multi-agent architecture different models are picked for different tasks. Full support for Turkish characters (ı/ğ/ü/ş/ç/ö); Turkish commands, transcripts and summaries are optimized in-product — directly, not via translation.
What happens as Mana grows? What's the roadmap?
Phase 1 — command-taking assistant (current). Phase 2 — assistant that understands context and offers suggestions (in development). Phase 3 — agentic AI: you give a goal, it plans, breaks it into pieces, executes, has you approve (2025 Q2). The roadmap includes MCP integration, multi-agent ReAct architecture, client risk scoring and a process improvement engine. Mana grows as Managelify's 'production layer'.
MANAGELIFY
Welcome to the Mana era — you approve, work flows.
Type your first command, open your first project with Mana, transcribe your first meeting. Control with you, production speed multiplied.