AI Prototyping in Iraq

Build a clickable demo for your pitch or user feedback. Test real AI responses when you need to check feasibility before committing to an MVP.

Get Started→Compare prototype scopes
Quick answer

What kind of AI prototype do you need?

A clickable AI prototype shows how a proposed product would work, using prepared responses. A working AI feasibility test checks actual model responses against a defined task. For a team in Iraq, the choice depends on whether the uncertainty is about the user flow or the AI itself. Ijjad scopes these as different deliverables; neither includes a production MVP by default.

  • Pitch or user feedback: start with the flow you need people to understand.
  • AI quality: test approved sample inputs against agreed acceptance criteria.
  • Arabic or Kurdish requirements: agree the text and response reviewer before work starts.

Choose the question to test

Compare AI prototype scopes

Choose a demo when you need feedback on the experience. Choose a working test when the decision depends on what the AI can do. Both can be scoped together if needed.

Clickable concept demo

Explaining a product idea or testing whether people understand the proposed flow.

Interactive screens

Schedule agreed after reviewing the flow

  • Agreed user journey and screen list
  • Wireframes reviewed before detailed design
  • Clickable Figma or coded demo, as agreed
  • Clearly identified simulated AI responses
  • Walkthrough with source-file handover terms
  • Live model evaluation
  • Production-ready application
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Working AI feasibility test

Checking whether real AI responses are useful enough for one defined task.

Test findings

Schedule depends on access and test scope

  • Agreed task and output-quality criteria
  • Approved sample inputs and model access
  • Limited working AI flow
  • Observed failures, response time and usage costs
  • Findings with a recommendation for the next step
  • Full production MVP
  • Unagreed integrations or ongoing support
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The proposal confirms the screen count, languages, review rounds and handover format. User recruitment or testing sessions are included only if agreed. Provider charges and any ongoing hosting are specified separately.

What can you learn from the prototype?

Choose the smallest test that answers the decision in front of you. A polished demo is useful when stakeholders need to understand the flow. If the business depends on response quality, test that before investing in a complete interface.

For example, a simulated Arabic document assistant can show where a user uploads a file and checks an answer. It cannot show whether a model correctly reads the document. A live test needs permitted sample documents, expected answers and a way to record mistakes. A reviewer should assess the output in the language your users will use.

Ask participants to complete a task rather than only react to the screens. Record where they hesitate and what they expect next. Treat that feedback as evidence about the tested flow; paying demand needs its own evidence.

OpenAI's evaluation guidance recommends task-specific tests with defined success criteria and human feedback. Those principles inform a working AI test; a few good demo responses are not a reliability measure. Source reviewed 19 October 2026.

Reviewed by Karam Abd Al Qader · Founder & Product Consultant
MBA, Amman Arab University · Ijjad reports government and enterprise digital-product delivery; supporting project records are private.

Last reviewed by Karam Abd Al Qader

How we work

From a prototype brief to a reviewable result

We confirm the schedule after reviewing the flow and dependencies. Share any pitch date early so we can assess what fits.

  1. 1

    Define the question

    Choose the decision the prototype should inform. For a pitch, this may be explaining the user journey. For a live AI test, define the task and what a useful response looks like.

    Deliverable: Written brief with scope and acceptance criteria.

  2. 2

    Agree the inputs and responsibilities

    Confirm who supplies content and who reviews it. For a working test, agree permitted sample data and provider access before connecting anything. Include language review and any testing sessions explicitly.

    Deliverable: Confirmed inputs, review owners and schedule.

  3. 3

    Build the agreed prototype

    Review the flow before adding visual detail. Label prepared responses in a clickable demo. For a live test, record failures as well as successful responses so the review reflects the tested cases.

    Deliverable: Prototype for review within the agreed scope.

  4. 4

    Review the findings and hand over

    Compare the result with the original question. Record remaining assumptions and decide whether to revise the prototype, test further or scope an MVP. Confirm source access and the hosted demo expiry at handover.

    Deliverable: Walkthrough and findings appropriate to the chosen scope.

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First-party, anonymized project figures reported by Ijjad. Client identities and underlying analytics are not public; the linked cases explain the project context and method.

What happens after your enquiry?

We review the brief and reply with any scoping questions. If the project fits, the proposal records the work and responsibilities. Detailed discovery or feasibility testing is agreed separately.

Before approving a scope, confirm which parts are simulated, what you receive at handover and who approves each language. For a live AI test, agree the provider and permitted data, with a limit on usage charges.

Already know what you need to build?

If the open questions need real users and operational features, discuss a separately scoped AI app or MVP for Iraq. A prototype can inform that decision; the next build is agreed after reviewing the remaining risks.

Tell us about your prototype

Tell us who the demo is for and which workflow it needs to show. Add required languages and any pitch date. Describe data sources only; keep private records and credentials out of the form.

Add a number so we can also reach you by phone or WhatsApp. Otherwise, we can reply by email.

AI prototyping in Iraq: your questions

Can you work to my pitch date?

Share your pitch date and the flow you need to show. We confirm availability and a delivery schedule after reviewing the required screens and dependencies. A clickable demo may fit a smaller scope than a live AI test. The written proposal confirms milestones and your review deadlines before work starts.

Will the prototype use real AI or simulated responses?

A clickable concept demo uses prepared responses so you can review the proposed experience. A working AI feasibility test connects an agreed model to approved sample inputs and records what it can and cannot do. The scope names which parts are simulated and which use live AI, including any provider access and usage charges.

Can I use the prototype for user testing or an investor demo?

Yes, for the flow and audience agreed in the brief. A demo can help explain the concept or reveal where users struggle. Participant recruitment and conducting or analysing user sessions are included only if agreed. A positive reaction does not establish paying demand, and a prototype does not guarantee investment.

What do I receive at handover?

The agreed prototype file or code, a walkthrough and notes on what is simulated. A working AI test also includes findings against the agreed criteria, with limitations and a recommendation for the next step. The proposal specifies source access, ownership terms, any report or roadmap, and how long a hosted demo remains available.

Can the prototype include Arabic or Sorani Kurdish?

Tell us the language or dialect, the audience and which screens or AI responses need it. Arabic layouts may need right-to-left behaviour; Sorani text and generated responses need review by someone competent in that language. We agree who supplies and approves the wording, and confirm reviewer availability before including a language in scope.

What is the difference between a prototype and a production MVP?

A prototype tests a limited question, using simulated screens or a constrained live AI workflow. A production MVP needs its own scope for real users, with access controls and operational requirements. Payment handling, security review, integrations and ongoing support are not assumed to be part of a prototype. Moving to an MVP is a separate decision after reviewing the findings.

What should I send with my enquiry?

Describe the intended user and the task you want to demonstrate. Add required languages and any pitch date. Say whether the uncertainty is about the flow or the quality of real AI responses. Describe data sources in general terms; keep credentials and private customer records out of the enquiry. We review the brief and ask any scoping questions before preparing a proposal if the project fits.

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Start with the question you need answered

Share the workflow and intended audience. We can discuss which prototype would help you make the next decision.

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