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APPLICATION WORKSPACE · CLOSED BETA

From the job posting to a tailored application.

LetterlAIne connects the requirements of a role with experience you can actually support — and helps you develop a tailored application from both.

AI helps you organise, compare and draft. You decide what is used.

John Doe · AI Product Manager

Example Energy · Berlin · Hybrid

REQUIREMENT

Experience with generative AI and translating business requirements into implementable solutions.

MATCHED EXPERIENCE

John structured requirements from grid planning and operations, prioritised the scope of a forecasting pilot and coordinated delivery with data and engineering.

Review experience

WHY LETTERLAINE

A good application starts with the right context.

Job posting, CV, projects, notes and previous AI chats often live in different places. That makes it difficult to understand requirements clearly and rediscover the right experience.

Understand what the role really needs

LetterlAIne organises responsibilities, requirements and constraints from the job posting.

Rediscover relevant experience

Relevant projects and responsibilities are connected with the requirements of the role.

Turn both into a clear application

Confirmed information provides the foundation for your CV, cover letter and interview preparation.

Each role gets one shared context instead of another collection of separate files and chats.

John Doe · AI Product Manager

Example Energy · Berlin · Hybrid

REQUIREMENT

Experience with generative AI and translating business requirements into implementable solutions.

MATCHED EXPERIENCE

John structured requirements from grid planning and operations, prioritised the scope of a forecasting pilot and coordinated delivery with data and engineering.

Review experience

HOW IT WORKS

Three steps to a tailored application.

LetterlAIne keeps job requirements, your experience and prepared wording in one shared context.

Screenshot of the LetterlAIne role analysis for John Doe with job description, analysis and original source.
Step 1

What is this role really looking for?

LetterlAIne organises responsibilities, requirements and constraints from the job posting. The original source remains visible alongside them.

You review the imported information before it is used further.

Screenshot of John Doe’s experience match showing the forecasting pilot and its connection to the target role.
Step 2

Which of your experiences fits?

LetterlAIne suggests relevant projects, responsibilities and results from your profile. You decide what is genuinely relevant and supportable for this role.

Missing or unclear points remain open.

Screenshot of John Doe’s application preparation with an editable argument tailored to the target role.
Step 3

How does this become a convincing application?

Confirmed requirements and experience become a role-specific argument for your CV, cover letter or interview.

Every draft remains editable.

HOW LETTERLAINE WORKS

AI supports you. You stay in control.

LetterlAIne helps you organise information and prepare an application that fits both you and the role.

With your context

LetterlAIne works with the target role, your documents and the experience you have confirmed.

With traceable evidence

Suggestions can be traced back to specific projects, responsibilities or documents.

With your approval

You decide what is accepted, changed or discarded.

AS YOU MOVE FORWARD

Everything stays together after the cover letter, too.

Track applications, plan follow-ups, prepare for interviews and compare offers — always in the context of the relevant role.

More about LetterlAIne
  • Pipeline
  • Contacts and follow-ups
  • Interview practice
  • Offer comparison

BEHIND LETTERLAINE

Created from a problem in my own job search.

I’m Lucas Freitag. LetterlAIne began as a tool for my own job search: roles, documents, notes and AI chats should no longer exist separately. Today I am developing it into a clear application workspace together with early testers.

The story behind LetterlAIne

CLOSED BETA

Help shape LetterlAIne.

I’m currently testing LetterlAIne with a small group of users. Feedback goes directly into the next improvements. Access is by invitation.