Workplace

Notes are better than tasks, and other hot takes from an Evernote expert

Vladimir Campos is here to help you master Evernote, and maybe even time itself.

Vladimir Campos

Vladimir Campos is committed to Evernote, mostly because of its searchability, chronological organization and widgets.

Photo: Vladimir Campos

Vladimir Campos has been an Evernote stan since 2008. The application’s ability to sync notes between his computer and his iPod Touch was, at the time, magical. Ever since, note-taking has been at the center of his productivity system. As his father always told him, take notes or you will forget. “I take notes on everything,” Campos, who’s based in Portugal, said. “Ideas, meetings, everything. From there, I built a system to help me be productive.”

Syncing notes across devices isn’t novel anymore. Still, Campos is committed to Evernote, mostly because of its searchability, chronological organization and widgets. He shares Evernote tricks and hacks as a productivity consultant, working with small companies and entrepreneurs in Portugal, Brazil and the United States. He wrote a book about Evernote in 2012, and became an Evernote Community Leader for Portuguese-speaking countries in 2019. The note-taking tool has a substantial community of influencers and productivity experts.

Campos sat down with Protocol to talk about his Evernote setup, time-management tips and lessons he’s learned from productivity coaching. Plus, he shared a link to his top 10 Evernote features.

Organize your life via notes

Campos’ hottest take is that tasks are overrated. People often focus their productivity setup on a list of tasks to be completed, slowly working through them during the day. Campos says task boxes don’t offer the flexibility and nuance that work often requires. “Tasks don’t show anything to you,” Campos said. “They only represent that you did it or you didn’t.”

A “record a video” checkbox doesn’t capture the actual work involved, for example, and long lists of subtasks get messy. Instead, Campos organizes his work in notes and creates action items within those notes. Notes provide more context and better prepare him for work. If he wants to look at all his tasks at once, he opens Evernote’s task view or “drawer.”

He knows that not everyone shares his hatred of tasks. So for his clients that prefer task views, he advises using techniques like Pomodoro to understand how long each task takes. Once you have that knowledge, it’s easier to organize tasks by time frame and decide which ones to prioritize.

Use tags to solidify your workflow

Campos may not like the to-do list, but we need to track our work progress somehow. His solution is leveraging Evernote tags. For example, in his YouTube Evernote folder, he marks notes as “Story,” “WIP (Work in Progress)” or “Done.” The “Story” tag means the note is simply an idea for a YouTube video. When he adds the “WIP” tag, it means he’s started to work on the video. “Done” is self-explanatory. All of these tags are standalone widgets on Campos’ Evernote home page, so he sees all notes marked “Story” when he opens the app.

The system is based on agile, a project management methodology centered on small, incremental tasks. Within agile, you’re supposed to impose work-in-progress limits. When you have too many projects going on, you never get anything done. Because of this, Campos restricts the number of “WIP” notes.

His tagging system is also based on agile’s kanban method of moving cards across categories. If Evernote tags aren’t your thing, you can also use tools like Trello, Notion and Asana that have built-in kanban views with drag-and-drop notes.

Blend your notes and calendar

Time constantly humbles us, dictating the amount of work we can complete, and we never feel like we’re getting enough done. The first step is recognition, Campos says. You have only so many minutes in a day. This is why he lives by his calendar, integrated, naturally, in Evernote. It sits prominently in his Evernote setup at the top of his home page.

Campos separates his calendar events into strict commitments and flexible work blocks. Strict commitments are meetings Campos must attend: the traditional events people place into calendars. Flexible work blocks are time blocks dedicated to specific activities. He leaves these calendar entries vague because he knows that his priorities might shift throughout the day. As much as he can, Campos schedules his flexible time blocks at the same time each week, almost like class periods. Consistency helps build habits.

Integrating your calendar with Evernote, or another note-taking tool of choice, is key if you’re like Campos and want to write everything down. Some people want to turn calendar events into living documents themselves. Campos achieves this by linking every Google Calendar event to an Evernote document.

Mastering the calendar is empowering, Campos says. Once you figure out how to harness time, you can do anything. Some might be stressed out by a digital calendar’s little red line signifying time passing throughout the day. Not Campos. “I love that line,” Campos said. “I’m always looking at it.”

Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

Keep ReadingShow less
Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

Keep ReadingShow less
FTA
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

Keep ReadingShow less
Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

Keep ReadingShow less
Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

Keep ReadingShow less
Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

Latest Stories
Bulletins