Harbinger · AIM Preview

What if you could see today
how AI could change your work?

Which tasks could become easier? Where will your experience still matter most? And where should you start?

That’s why we’re building AIM – AI Impact Modelling by Harbinger.

Your work. Your view ahead.
You’ll soon be able to try the free AIM Preview here.

YOUR WORKAIMNEW POSSIBILITIES
AI IMPACT MODELLING

THE COUNTDOWN IS ON.

Planned AIM launch · Wednesday, 20 January 2027

91Days
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Counting down to the start of the planned launch day in Germany. The Preview opens after successful testing. A launch time has not been set.

A first look. Your own work.

Less AI jargon.
More “What does this mean for me?”

The AIM Preview will start with your work. Personal, understandable and checked by you at every step.

1

Describe your work.

What do you actually do? A job title is a starting point. Your tasks make the difference.

2

Refine your role.

Check the suggested role. Correct tasks and add what’s missing. You know your work best.

3

Explore the possibilities.

Understand where AI could contribute, where people remain responsible and what is still uncertain. Then identify a useful next step to investigate.

Free to try · Opening soon
Build in public · The AIM build log

Notes from the engine room.

What works. What breaks. And why we keep building.
Documented progress, including the awkward bits.

Last updated · 21 October 2026From the first plan to launch

5 roles. 56 tasks. One shared core.

The Preview now has a tested connection to AIM Core v0.9.4. Five synthetic roles complete the journey through to a report. Public analysis of visitors’ own descriptions is not yet available.

Under the hood

13 connection checks passed. Changed sources, outdated reviews and tampered reports are detected. Next: connect the existing interface in the separate development environment.

A second process isn’t a restart test.

Saving only proves its worth when results survive a real restart. During development, we had to correct the results history and the loading request. The final test actually shuts down the server and starts it again.

Under the hood

Core Day 11, v0.9.4: 120 software tests passed. This is local technical acceptance with synthetic data. Public operation, registration and deletion processes remain separate open tasks.

99.99 per cent isn’t enough.

An almost complete picture of someone’s tasks is still incomplete. In the test, AIM blocks completion when allocated time shares add up to only 99.99 per cent. Only a fully reviewed version can proceed.

Under the hood

Just as important: reopening a review invalidates the previous results. The report must match the exact tasks that were most recently reviewed.

One good run is a start. Two make a test.

Five selected synthetic roles ran through the entire core twice: intake, task extraction, matching, review, scoring and reporting. The two runs are compared.

Under the hood

Core Day 10, v0.9.3: 56 tasks, 109 passing tests and 16 identical result, report and PDF comparisons. Each run also checked 45 failure cases. This does not yet establish the quality of real visitor analyses.

Read the earlier chapters · 6 more entries

What if the job title is Clown?

Work doesn’t always fit the obvious occupational category. That’s why the working version includes a Clown example you can click through. Unusual titles should be retained when a match is uncertain.

Under the hood

The published working version uses four synthetic examples from v0.9.2. Visitors’ own descriptions stay in the browser. The newer local v0.9.4 connection covers a different set of explicitly registered test roles; Clown is not yet among them.

Four scores of 50 aren’t an insight.

Identical test inputs produce identical test scores. That helps test the connection, but it tells us nothing about a real role. So synthetic values are not presented as a personal assessment.

Under the hood

Uniform test ratings of 2 out of 4 produce four scores of 50/100. They establish neither savings nor staffing needs nor the future of a job. Sources, assumptions and uncertainty belong in the eventual result.

A report needs a memory.

Results are linked to their version and the reviewed tasks. When the underlying information changes, an old report must no longer appear current.

Under the hood

Day 9 connects scoring and reporting to verifiable source and version references. A successful synthetic output does not authorise use with real company data.

People get the red pen.

A suggested task must be open to correction. Confirming, editing, rejecting and merging tasks are therefore part of the review. The original text passages remain traceable.

Under the hood

Time shares are deliberately reviewed and assigned. A visitor’s confirmation does not replace expert approval for production use. Our aim: understand the work first, then discuss change.

45 documents. One question: where does it say that?

Task extraction was tested with 45 synthetic documents. Original text passages are retained with the identified tasks. A plausible sentence alone is not enough evidence.

Under the hood

59 tests passed. Additional suggestions from occupational references remain clearly distinguishable and must be reviewed. No real customer data was used in these tests.

The ambition: understand work. Then think ahead.

AIM is intended to lead from concrete tasks to informed questions about change. Where could AI help? What needs human review? Which skills and workflows will matter more? We’re building one shared core to explore these questions.

Under the hood

The path to supported use runs through synthetic tests and reviewed approvals. The free Preview will offer a first personal look. The complete AIM tool remains a separate product.

Keep building. Keep testing. Understand more.

The next milestone

A good first look needs to work all the way through.

We’re connecting the existing interface to the tested core. Before opening the Preview, we’ll test the results, data handling and actual report delivery together.

  • Shared AIM core v0.9.4 Tested with synthetic data
  • Public analysis of visitors’ own descriptions In preparation
  • Results and reports by email Not yet available
  • AIM release · 20 January 2027 Planned
When can I try the free AIM Preview?

We’re preparing to open it. You’ll be able to use the Preview on this page once the journey, results and actual report delivery have been tested. The planned AIM tool release is Wednesday, 20 January 2027.

Can AIM predict the future of my job?

AIM is designed to help you understand how your tasks could change. It cannot predict your job’s future with certainty. Sources, assumptions, human responsibility and uncertainty all belong in the picture.

Is the Preview the full AIM tool?

The free Preview will provide a limited first look. The full AIM tool will support broader questions about work, workflows and organisational change. Both will use the same tested core, with separate operation.

What happens to my information?

This announcement page does not ask for a job description. You don’t need to register to download the calendar event. Information about personal data will reflect the actual service when the Preview opens. Report delivery and optional launch updates will be handled separately.

Ready to rethink your work with AI?
Let’s talk.

Contact Harbinger