Demonstrations

See the thinking, not just the description.

Two interactive simulations, one for each product. Both use synthetic data, run entirely in your browser and connect to no production systems.

LeBitsi OS · operational mission simulation

A critical service fails. Take the mission from definition to lessons learned.

Interactive simulation — synthetic data — no production systems connected. It illustrates the LeBitsi OS approach and its Mission Control Center module. It is not the product or a screenshot, and nothing is executed anywhere.

Mission MSN-0412 · synthetic

Restore customer order processing

Mission status
Ready to start
Owner
Operations lead (you)
Human approval
Required before execution

Stage 1 of 9

Define

Customers cannot complete orders at checkout. The mission is defined before anything else happens.

Incident
About 38% of order submissions failing since 09:12
Impact
Sales, warehouse, finance and customer service
Objective
Restore order processing without losing order data
Constraints
No data loss; changes touching payments need the finance owner's agreement
Owner
Operations lead (you, in this simulation)

Stage 2 of 9

Draft

AI-assisted analysis drafts three options from the monitoring data, recent changes and dependencies. Simulated AI output

  1. Fail over the order database to its standby node. Recommended. Expected effect: orders recover within minutes. Risk: a short pause in new orders during the switch.
  2. Restart the order service and add capacity. Expected effect: may relieve symptoms. Risk: does not address the failing database node.
  3. Hold and investigate further. Expected effect: more certainty. Risk: failures continue for every customer meanwhile.

Stage 3 of 9

Validate

The data the recommendation depends on is checked before anyone relies on it.

  • PassedReplication to the standby node is current (4 seconds behind).
  • PassedThe standby node is healthy and sized for full load.
  • PassedLast night's backup completed and was verified.
  • WarningPayment service monitoring data is 20 minutes old. Flagged for reviewers.

Result: passed, with one warning carried forward.

Stage 4 of 9

Simulate

The recommended option is evaluated against a model of the systems before anything is changed.

Modelled recovery
Orders recover in an estimated 8 to 12 minutes
Side effect
New orders pause for about 2 minutes during the switch
Payments
No change expected in the model
Reversible
Yes: the service can fail back once the primary node is repaired

The risk assessment is now available alongside the mission.

Stage 5 of 9

Review

Human review required

Reviewers examine the plan, the evidence and the simulated result.

  • Database owner Replication confirmed; the standby can carry full load.
  • Finance owner Payment monitoring gap noted. Acceptable if payments are watched after the change.

Stage 6 of 9

Approve

Your decision

Approve or reject the recommendation. In this simulation, nothing proceeds without your decision.

The operations lead approves or rejects. Both outcomes are shown in the stages that follow.

Stage 7 of 9

Execute

Simulated execution. Nothing is changed anywhere.

If the recommendation is approved:

  1. 09:41Failover started on the order database.
  2. 09:43Standby node promoted to primary.
  3. 09:44Order service reconnected; new orders accepted.
  4. 09:45Finance asked to watch payments for the next hour.

If the recommendation is rejected:

Not run. The recommendation was rejected, so no action was executed.

Stage 8 of 9

Monitor

If the recommendation is approved:

Order failures
From about 38% to 0.3% by 09:55
Checkout response
Back within its normal range
Payments
No change observed

If the recommendation is rejected:

Order failures
Continue at about 38%
Next step
The incident stays open under the existing process, and an alternative is requested

Stage 9 of 9

Learn

If the recommendation is approved:

The decision record is closed: what was known, the options, who reviewed, who approved, and the outcome.

Lesson carried forward: add payment monitoring freshness to the validation checks of future missions.

If the recommendation is rejected:

The record keeps the rejection and its reason, so the next attempt starts better informed.

Next: a new mission is drafted around the second option.

Risk assessment

Impact
Medium
Likelihood of side effects
Low
Reversibility
High
Data risk
Low
Overall
Moderate Human approval required

System relationships

  • Customer portalDegraded
  • Order serviceDegraded
  • Order database, primaryFailing
  • Order database, standbyReady
  • Payment serviceNormal
  • Warehouse systemWaiting for orders

Activity history

  1. 09:12Monitoring Checkout failures pass the alert threshold. Mission defined.
  2. 09:18AI analysis (simulated) Three options drafted; failover recommended.
  3. 09:24Validation Checks passed with one warning: payment monitoring is stale.
  4. 09:29Simulation Modelled outcome produced. Overall risk: moderate.
  5. 09:36Operations lead (you) Review recorded with the reviewers' notes.
  6. 09:40Operations lead (you) Approved the failover.
  7. 09:40Operations lead (you) Rejected the recommendation.
  8. 09:44Execution (simulated) Failover completed within the approved scope.
  9. 09:40Execution Nothing executed.
  10. 09:55Monitoring Order failures down to 0.3%.
  11. 09:55Monitoring Failures continue; incident remains open.
  12. 10:05Decision record Record closed with the outcome and the lesson.
  13. 10:05Decision record Record closed with the rejection and its reason.

LeBitsi AI Life · personalisation simulation

Same product. Different person. Different plan.

Interactive product concept — synthetic profile — illustrative recommendations. It runs entirely in your browser; nothing you choose is sent or stored. It illustrates the personalisation principle and is not LeBitsi AI Life's actual output.

Turn on JavaScript to see a plan built from these choices.

What these simulations are, and are not

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