Many people feel the Agent concept is great but don't know how to put it into practice. This article shares 4 Agent office scenarios in real daily use, each with a concrete operating path and concrete deliverables. The core methodology comes down to one thing: Explore -> Solidify -> Invoke.

The Core Method: the "Explore-Solidify" Pattern

Whatever Agent tool you use, the underlying logic is the same:

1. Explore mode: the first time you have the AI do something, it feels out the operating path on its own. You can watch the whole way — which web pages it opened, what information it extracted, what logic it used to organize things
2. Solidify mode: once the exploration succeeds, save the entire operating path as a Skill (a capability), and invoke it directly next time
3. Invoke: from then on you only enter the variables, describing what you need in the plainest everyday language

The benefit of this pattern: the first run consumes a fair number of credits/tokens, but after solidifying, subsequent runs cost far less — the more you use it, the more you save.

Scenario 1: Break Down Viral Articles Every Week, Automatically

The pain point: scanning viral articles in the AI space every day is time-consuming, and on top of that you have to break them down and find the patterns.

The Agent workflow:

1. Automatically scrape WeChat official account articles about AI with 100,000+ reads every week
2. Break down each article in depth (analysis of elements like emotional hooks, title structure, and quantified numbers)
3. Scan the space horizontally to judge which directions are already saturated and which still have a window of opportunity
4. Generate deep insights and topic suggestions
5. Send the report to your inbox on a schedule

Key deliverable: on Monday morning you open your email and the viral-article analysis report is already sitting there. All you do is make the final topic decision.

Scenario 2: Knowledge Management — the Problem of Forgetting It the Day After

The pain point: you heard a great podcast, read a great book, attended a substance-packed conference — and the next day you can't recall a thing. Your notes are scattered all over the place, in every format imaginable.

The Agent workflow:

1. Throw podcast links, meeting notes, reading notes, and idea fragments at the Agent
2. The Agent extracts the core content and organizes it into a clearly structured mind map
3. It outputs a "layered knowledge framework + key-tips chart" — one glance tells you what the main points were

Scenario 3: Generate a Business-Trip Itinerary in One Sentence

The pain point: every business trip means checking the conference agenda, comparing flights, finding a hotel, and listing daily tasks — too many things, easy to miss one.

The Agent workflow:

Give the instruction in one sentence:

"Generate a complete three-day tech conference itinerary in Beijing. Open the conference's official website in the browser to plan the schedule. Departing from Wuhan, include the conference attendance plan, daily session themes/forums, transit routes, accommodation suggestions, and optional daily tech-related sightseeing arrangements. Output Word and HTML, and email a reminder with the key itinerary."

The Agent automatically:

1. Opens the browser and visits the conference website
2. Scrapes the agenda information
3. Puts together transit and accommodation options
4. Generates two versions: a Word document + an HTML page
5. Pushes the key itinerary straight to your inbox

Scenario 4: From Trending Topic to Finished Video

The pain point: making a trending-topic video takes the better part of a day just to pick the topic, gather material, write the script, and match the visuals.

The Agent workflow:

1. Grab trending topics -> distill a topic -> generate the script -> match video material, chained into one pipeline
2. Supports uploading local Skills to solidify each individual capability
3. You basically do only the last step: review and confirm

Video quality is still at an early stage, but the pipeline already runs end to end.

The More You Use It After Solidifying, the More You Save

Take itinerary planning as an example:

• The first exploratory run consumed 888 credits
• After solidifying, a run consumed only just over 300 credits
• It keeps going down

The whole workflow, summed up in one sentence:

Describe what you need in plain words -> let it explore once -> solidify -> fine-tune -> invoke directly from then on

You never write a single line of code. On the way to the airport, in a break between meetings, even lying in bed — send the Agent an instruction on WeChat, and it starts executing the task on your computer.