Problem

Try to keep
the whole story.

A single issue crosses people, tools, AI and code. Explore what it takes to preserve the evidence, reach a shared understanding and verify the actual result.

Free plan · Works with Claude Code and Codex and others

Click the evidence, change perspectives, run the workflow
Experiment 01 / Collect the fragments

Everything exists.
Nothing is together.

Tap the pieces of one issue to assemble a shared record. In normal workflows, each lives somewhere else—and the missing piece can change the whole interpretation.

0 / 6 collected

One issue.
Six different places.

The record is missing its original evidence.

Pieces you collect will appear here, without losing their original source.

Conceptual interaction, not a real Aproow product screen.

Experiment 02 / Change perspective

Same issue.
Different missing pieces.

Business understands the intent. Engineering needs reproduction details. AI needs explicit project context. Changing the viewer doesn’t magically fill the gaps.

Same issue · Different interpretations

Why won’t
Save work on mobile?

“I just want people to save their changes. The button doesn’t seem to respond.”
Focus
User-facing outcome
Knows
What users are trying to do
Missing
Technical reproduction
Wants
A visible, reliable fix
Experiment 03 / AI context gap

A strong LLM doesn’t fix
a fragmented workflow.

Same request. Same coding agent. Change only the information it receives. Watch a plausible answer become more grounded — while review and verification still require a shared process.

The request / always the same
“The Save button doesn’t work on mobile. Fix it.”

What can the agent actually see?

Illustrative agent response0 / 3 layers
Plausible guess

“I’ll replace the button handler.”

The request does not establish where the failure occurs or what successful behavior should look like.

No reproduction details, project decisions or approval criteria were supplied.
Ungrounded input

Even with more context, the model doesn’t own the review, execution or QA handoff.

A conceptual comparison, not a live model call or a claim about model accuracy. Providing relevant information reduces ambiguity; it does not guarantee a correct solution.

Experiment 04 / Close the loop

A pull request
isn’t the finish line.

Step through an illustrative fix. Notice the human approval gate, the QA handback and what happens when the first implementation still misses the original intent.

One issue / one lifecycle

Follow the original request

  1. Capture
  2. Plan
  3. Approve
  4. Build
  5. Verify

The report exists. Who decides what happens next?

Illustrative engineering & QA handoff
  1. 01Report captured
Current state01 / 09

Report captured

The original screenshot and user intent are recorded. Work has not been planned.

Human approval required before execution

Experiment 05 / Scale the backlog

One issue is difficult.
Fifty is a system problem.

Multiple requests create hidden duplicates, blockers and dependencies. A backlog is not the same thing as a coordinated execution pipeline.

Find what the list doesn’t show.

Switch on dependencies to reveal why blindly executing a batch can create rework.

IDIncoming issueState
#18Save button fails on mobileNew
#19Save doesn’t work on iOSNew
#20Redesign onboarding screenPlanned
#21Settings state inconsistencyNew
#22Update onboarding promptsNew
#23Payment state errorNew
#24QA environment mismatchNew
#25Confirm new success messageNew
Workflow transformation / The better way arrives

Too many steps.
One clearer way.

Scroll to see how scattered actions become fewer, connected steps. The original workflow stays visible — the Aproow alternative arrives beside it.

Same issue. Two ways to handle it.

01 / 05
“Save changes” doesn’t work on mobileOne issue · Same desired result
Current workflow

Without Aproow

8 separate actions
A connected workflow

With Aproow

4 clearer outcomes
01
Notice a problem
Discuss it in chat

Capture once, keep the request.

From the moment it’s noticed.

02
Send a screenshot
Copy it into a task manager

Evidence and task, together.

No separate hunt for screenshots.

03
Clarify the details again
Developer reconstructs context

Context goes with the work.

Clearer input for the developer.

04
QA follows up separately
Search for the latest decision

Review and verify in one history.

From the decision to QA retest.

The usual wayToo many disconnected steps for one simple issue.

Scroll to reveal the four improvements, or select a step above. This comparison illustrates a workflow, not guaranteed time savings or live integrations.

Stop losing context.
Start shipping.

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