“I need to prepare something for tomorrow's meeting. It needs to explain where the project is stuck and what we need from each team.”The meaning is there.
The structure isn't. Yet.
HUMAN INTENT. AI, UNDERSTOOD.
You know what you mean.
AI should too.
Turn what you mean into context AI can use.
We're building a way to turn human intent into AI-ready instructions.
So you can focus on your idea, not on how to prompt it.
01 / THE TRANSLATION GAP
More than a model.
A matter of context.
An idea can be clear in your head and incomplete in a prompt.
MANHAQ explores the space in between.
The structure isn't. Yet.
- Goal
- Make project blockers clear
- Context
- Tomorrow's project meeting
- Audience
- The teams involved
- Constraints
- Ready for tomorrow
- Still to discover
- Which blockers? Which decisions?
02 / TRY THE POSSIBILITY
Say it your way.
No perfect prompt needed.
Start with what you're trying to do.
MANHAQINTERACTIVE PREVIEW
IntentContext discoveryReady-to-use prompt
A little context changes the direction.
Your intent. A ready-to-use prompt.
Read the full prompt
INTENTCONTEXTMANHAQYOUR CHOSEN MODEL
Take this prompt to the model you choose. No model is connected to this preview.
Product preview. MANHAQ is currently in development. This guided demo uses predefined questions, not AI inference. Your answers stay on this page.
03 / WHERE WE'RE GOING
Context changes
everything.
For individuals, a way to uncover what you actually need.
For organizations, a way to connect intent with the context you already have.
PeopleProjectsKnowledge
DocumentsPoliciesTools
MANHAQ / THE CONTEXT LAYER“Create a dashboard
for Project X.”
Useful context could start with:
- Who is asking, and what do they need?
- What is Project X, and which KPIs matter?
- Which templates does the company use?
- What is this person authorized to access?
These organizational connections are a future direction, not integrations available today.
04 / BUILT AROUND PEOPLE
AI shouldn't
require a manual.
People shouldn't have to learn
how to speak AI's language.
AI should get better at
understanding theirs.
We're starting in Brazil, building toward a world where powerful AI is useful to more than the people who know how to prompt it.
Even our name began in translation.
“Uma IA que” became MANHAQ.
That gap became our starting point.
MANHAQ
Between what you mean
and what AI understands.
We're building that layer.
Be part of what comes next.