Case studies

Real product stories with evidence and clear limits.

Each alterac.ai case study shows what changed, the evidence behind the result, and what the result does not prove. The first story follows how alterac.ai was used to build alterac.ai.

Dated: Every result keeps its period and evidence cutoff.
Reviewable: Artifacts carry provenance, captions, redactions, and text alternatives.
Qualified: Facts, observations, inferences, and limits stay visibly separate.

Flagship study · August 27, 2026

How alterac.ai uses alterac.ai to build alterac.ai

One engineer’s first-party record of a completed-task rate rising from 6.8 to 13.2 tasks per calendar day after alterac.ai began managing the workflow, while the engineer still reviewed every proposed change.

The August 3 calculation compares 23 manually coordinated days with the first six managed days. It is a dated observation, not a customer outcome or a promise of repeatable results.

Read the self-case study

Evidence at a glance

Data through August 27, 2026

First-party

6.8tasks/day: completed tasks per calendar day before alterac.ai · July 6–28
13.2tasks/day: completed tasks per calendar day after alterac.ai began managing work · July 29–August 3
1.94: 94% higher observed completed-task rate in the six-day snapshot
Human-owned: review and merge decisions throughout the study

Reusable case-study standard

Every future story must meet the same standard.

A logo, quote, or outcome number is not enough. Every study must identify its source, explain how the evidence was collected, and publish its limitations.

Name the subject, audience, study period, scope, and evidence method before choosing results
State who produced and published the study and whether it is first-party or customer evidence
Use dated artifacts with sources, captions, useful text alternatives, and documented redactions
Keep recorded facts separate from observations, interpretations, and limitations
Explain every number with its date range, sample, definition, coverage, and exclusions
Keep page metadata and structured data consistent with the visible story
Require product-owner review of every claim, artifact, redaction, accessibility detail, and publication field
Create a new dated evidence snapshot for each refresh instead of silently changing old results

Start with a reviewable piece of work.

Put a supervised coordination loop around your next task.

Start with one repository and one reviewable piece of work. Use the Docs for the procedure; use the case study to decide whether this way of working fits.

Put the workflow to work See the recorded evidence