What does Prompt Engineering include?

The exact scope is agreed after a discovery conversation. We document the priorities, delivery approach, and expected output before work begins.

Can this work with our existing team?

Yes. We can work alongside your internal team, existing vendors, or take ownership of a clearly defined delivery area.

Start with the problem, the current system, and the decision you need to make. We will recommend a practical next step.

Abstract visual representing AI prompt engineering

Build the next step with dependable AI workflows.

Design dependable AI interactions that give users useful answers, clear boundaries, and a workflow your team can evaluate and improve.

Discuss Prompt Engineering Book a Strategy Call

Delivered as: MVP Sprint · Custom Product Build
Typical timeline: 4 to 10 weeks depending on scope.
Pricing: Custom quote after discovery, with no fixed packages.

What we deliver

Designed as connected parts of one durable product system, not a pile of disconnected features.

01Define the user task
02Prepare trusted context
03Design instructions

Connected desktop, laptop, and mobile product interfaces arranged as one software system

Prompt systems
Knowledge context
Response guardrails
Evaluation cases
Human review flows
Monitoring guidance

The challenge

AI feels unreliable when the interaction has no guardrails.

A useful AI experience needs more than a prompt. It needs the right context, deliberate instructions, evaluation cases, and a clear response when the system should not answer.

Who this is for

A practical path for teams ready to move forward.

01Teams with a defined business problem
02Leaders planning a technical change
03Product teams needing delivery clarity
04Operations teams improving a critical workflow

We start with the current workflow, then define the priorities and a measurable next step.

How we keep it focused

Design dependable AI interactions that give users useful answers, clear boundaries, and a workflow your team can evaluate and improve.

Clear ownership
Visible milestones
Practical trade-offs
Quality checks
Stakeholder updates
Documented decisions

04 / Delivery

How the engagement runs

AI helps our team research, prototype, write and review code, and test each release. Our people check the results and remain responsible for the finished work.

See the full process

01Define the user task

02Prepare trusted context

03Design instructions

04Test real examples

05Add review controls

06Measure and improve

Related work

Real engagements with real screenshots, timelines, and stacks. Nothing here is a stand-in.

Client engagement
US-based HR technology startup · HR technology & recruitment
OpenInterview
OpenInterview is a video interview platform that turns a candidate résumé into a recruiter ready profile with a video introduction availability details and one shareable link. Barakode built the product from résumé parsing and video processing to public profiles and Stripe subscriptions.
Delivered
4 services
Timeline
August 2024 – November 2024
- React.js
- Node.js
- REST API
- AI résumé processing
- Cloud storage
Platform launched and live at openinterview.me, serving job seekers internationally.
View case study
Client engagement
Real-estate marketplace operator · Real estate
Beyut Libya
Beyut Libya is a bilingual property marketplace for Libya. Buyers can find verified homes with live filters while agents manage their inventory through a secure admin panel. The platform supports residential and commercial property across the country.
Delivered
4 services
Timeline
October 2024 – January 2025
- Next.js
- React.js
- Node.js
- REST API
- MySQL
Platform live and operating nationwide at beyutlibya.com.
View case study