Describe your work.
What do you actually do? A job title is a starting point. Your tasks make the difference.
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.
THE COUNTDOWN IS ON.
Planned AIM launch · Wednesday, 20 January 2027
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.
The AIM Preview will start with your work. Personal, understandable and checked by you at every step.
What do you actually do? A job title is a starting point. Your tasks make the difference.
Check the suggested role. Correct tasks and add what’s missing. You know your work best.
Understand where AI could contribute, where people remain responsible and what is still uncertain. Then identify a useful next step to investigate.
What works. What breaks. And why we keep building.
Documented progress, including the awkward bits.
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.
13 connection checks passed. Changed sources, outdated reviews and tampered reports are detected. Next: connect the existing interface in the separate development environment.
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.
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.
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.
Just as important: reopening a review invalidates the previous results. The report must match the exact tasks that were most recently reviewed.
Five selected synthetic roles ran through the entire core twice: intake, task extraction, matching, review, scoring and reporting. The two runs are compared.
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.
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.
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.
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.
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.
Results are linked to their version and the reviewed tasks. When the underlying information changes, an old report must no longer appear current.
Day 9 connects scoring and reporting to verifiable source and version references. A successful synthetic output does not authorise use with real company data.
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.
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.
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.
59 tests passed. Additional suggestions from occupational references remain clearly distinguishable and must be reviewed. No real customer data was used in these tests.
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.
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.
Save the planned AIM launch date. The free Preview will open here once the complete journey is ready.
Want to talk to Harbinger about AI and your work before then? We’d like to hear your questions.
Add a calendar reminder so AIM is back on your radar for the planned launch.
Save the AIM launch to your calendarA tentative all-day event. No newsletter subscription.
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.
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.
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.
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.