What if you could compare two long documents in seconds, and instantly see what changed,
what improved, and what slipped behind?
In this session, we'll drop in a proposal and a progress report, and watch how Cloud
highlights the differences with just a few prompts.
Let's begin.
When we upload documents into Cloud, it reads them as structured information, not just plain
text.
This means it understands sections like Objectives, Risks, Timelines, Milestones, and Impact Estimates.
By loading both PDFs, Cloud can look at them side-by-side and begin forming connections
between planned expectations and actual progress.
Cloud confirms that both documents are processed and ready for analysis.
At the high level, we want Cloud to summarize the biggest differences.
This includes how the project's goals align with its current progress, whether the expected
impact is being achieved, and whether the timeline is shifting.
Cloud also picks out details that humans might overlook, like changes in risk severity
or unexpected dependencies emerging during development.
This gives us a quick snapshot of whether the project is generally on track or starting
to fall behind.
Cloud returns a summarized comparison showing key shifts, such as reduced impact, delayed
timelines, and new risks, helping us quickly understand overall project alignment.
Now let's move from the high-level view into deeper category-specific analysis.
Here Cloud compares planned milestones with completed ones.
For example, the proposal describes core features and a structured timeline, while the report
tells us which modules are actually finished and which ones are delayed.
Cloud also compares the risks listed in the proposal with the risks emerging in the report.
This is especially valuable because it reveals gaps between early assumptions and real-world
challenges, like integration delays or scaling issues.
We also get a clear picture of the project's impact.
The proposal estimated up to a 40% reduction in workload, whereas the report shows a smaller
improvement so far.
Finally, Cloud highlights timeline changes, helping us understand whether delays are isolated
or part of a broader pattern.
After analyzing the details, Cloud can distill everything into a clear, executive summary.
This is extremely useful for project managers or stakeholders who need a concise overview
without reading both documents end-to-end.
Cloud highlights what has changed, what still aligns with the proposal, what new risks have
appeared, and what next steps should be prioritized to keep the project moving.
This allows decision makers to quickly understand the project's status and respond with informed
actions.
To make the information easier to share or present, we can also ask Cloud to format the
comparison as a table.
Tables are especially powerful for spotting misalignment because you can directly compare
objectives, timelines, risks, and milestones side-by-side.
This structured view helps teams quickly identify which areas need clarification, escalation,
or additional resources.
It also creates a simple document that can be shared across teams for alignment.
And finally, we ask Cloud to generate insights that go beyond what's written.
This is where Cloud's reasoning becomes especially helpful.
It can detect patterns, infer causes of delays, highlight dependencies between challenges,
and even identify whether the project might require reprioritization.
These inferred insights often reveal issues that are not explicitly stated, but are implied
through differences in the two documents.
This level of analysis would typically take a human hours of review, but Cloud delivers
it in seconds.
With just a few prompts, Cloud helps us compare two complex documents, analyze progress, identify
gaps, and extract actionable insights.
This workflow dramatically reduces review time and gives teams a clearer picture of
project health.
Thanks for tuning in.
I'll see you in the next video.