Field Guide № 02 — LinkedIn

What kind of LinkedIn account are you actually running?

A strategic field guide for founders, operators, and experts deciding where to put their energy.

Filed Under Framing — Act One
Method The Pathlit Method™
Read Time 9 minutes

The Atlas

Four Strategic Intents · Thirteen Account Types

Strategy on LinkedIn starts before the first post.

Most people don't choose a LinkedIn strategy. They mistake visibility for strategy — posting consistently, watching reach climb, and never naming what the account is actually for.

The result is reach without recognition. The likes accumulate. The follower count moves. And nothing gets clearer about who you are or what you do.

Strategy on LinkedIn starts before the first post. It starts with naming what kind of account you're actually building, because the type determines everything downstream: what you publish, how you measure success, who you connect with, and what "winning" even looks like.

This is a working map of the LinkedIn account types I see most often, organized by strategic intent. It's meant as a reference — something to return to when the noise gets loud.

A Note on Method

This map sits inside the first act: Framing.

Before placement (where you show up) or continuation (how you stay), you have to know what you're building. Account type is one of the clearest framing decisions you'll make on any platform.

Strategy on LinkedIn starts before the first post.

Most people don't choose a LinkedIn strategy. They mistake visibility for strategy — posting consistently, watching reach climb, and never naming what the account is actually for.

The result is reach without recognition. The likes accumulate. The follower count moves. And nothing gets clearer about who you are or what you do.

Strategy on LinkedIn starts before the first post. It starts with naming what kind of account you're actually building, because the type determines everything downstream: what you publish, how you measure success, who you connect with, and what "winning" even looks like.

This is a working map of the LinkedIn account types I see most often, organized by strategic intent. It's meant as a reference — something to return to when the noise gets loud.

A Note on Method

This map sits inside the first act: Framing.

Before placement (where you show up) or continuation (how you stay), you have to know what you're building. Account type is one of the clearest framing decisions you'll make on any platform.

The mechanics that shape every type.

A few platform truths apply across every account type below. What changes is how each type uses them.

iPersonal beats company. Always. Personal accounts get 5–10× the reach of company pages on the same content.
iiComments outweigh everything else. Likes, shares, and reposts don't compound the way comments do. Engineering posts for comments is the whole game.
iiiThe first three lines are everything. Posts truncate around 210 characters. Write your opening like a magazine deck.
ivDwell time is rewarded. Long captions often outperform short ones — the opposite of every other platform.
vPDF carousels are a power format. They pull extra distribution and the highest dwell-time of any format on the platform.
viThe Newsletter feature compounds. A subscriber is worth more than ten followers over time.
viiDMs are where deals happen. Build credibility in posts; close in messages.
viiiDaily posting often hurts. Two to five times a week tends to outperform a daily cadence.
ixCommenting on bigger creators' posts reaches more new people than your own posts will.
xPolls bend your audience toward people who showed up for entertainment, not for what you actually do.
I
Strategic Intent — One

Audience as the Asset

The audience itself is the business. Your relationship with that audience is what gets monetized.

Creator / Thought Leader

i.

Build a cross-functional audience around your expertise. POV pieces, lessons learned, contrarian takes. Money comes from courses, paid newsletters, sponsorships, advisory, and speaking.

Choose if You can publish consistently, have a clear point of view, and want reach beyond your immediate industry.
Watch for The pull toward generic "thought leadership." Specificity beats scale; takes worth disagreeing with beat takes everyone agrees with.

B2B Influencer

ii.

Niche-specific creator — marketing, sales, HR, finance, engineering management. Smaller audience than a general thought leader, but per-follower commercial value is much higher. Sponsored posts, webinar partnerships, paid newsletters.

Choose if You have deep domain expertise and your audience would actually buy from a known sponsor.
Watch for Confusing audience size with influence. A 5,000-follower account that converts B2B buyers can be worth more than a 100,000-follower one that doesn't.

Aggregator / Curator

iii.

Faceless career-advice or industry-news pages. Curated lists, quote graphics, repackaged news. Less common on LinkedIn than on Instagram, but real for recruiting, sales, and finance niches.

Choose if You're operationally minded, comfortable scaling without personality, and the niche has curation worth doing.
Watch for Trust ceiling and rate ceiling. Aggregators rarely command the premium rates that personality-led accounts do.
II
Strategic Intent — Two

Career Capital

The account is a calling card. Opportunities — jobs, partnerships, speaking, books, board seats — come to you because of what you publish. The center of gravity on this platform.

Personal Brand

i.

Become known for something specific so the right opportunities — jobs, partnerships, speaking, board seats — find you. The default LinkedIn move, and the right one for most senior operators and experts.

Choose if You want to be known by a specific audience and can publish work-relevant POV consistently.
Watch for Vague, all-things-to-all-people positioning. The strongest personal brands are unmistakably about one thing.

Niche Authority

ii.

Deep authority within a narrow specialty — a function (FP&A, RevOps, IC management) or an industry (regulated industries, B2B SaaS finance). Tighter audience, higher density of qualified buyers and recruiters.

Choose if You have hard-won expertise that a specific hiring or buying audience would pay attention to.
Watch for Broadening the niche to chase reach. Niche authority compounds slower but goes deeper. Stay in your lane on purpose.

Active Job Seeker

iii.

A time-limited posture during a career transition. The content mix shifts: more visible projects, more reflection on craft, more direct positioning of what you're looking for. The audience that matters is recruiters and warm intros, not virality.

Choose if You're between roles or actively in-market, and want to surface from passive networking into directed conversation.
Watch for Performative job-search content. Substance — what you've built, what you've learned — moves more recruiters than the hunt itself.

Employee Advocate

iv.

Build a personal brand while amplifying your employer's work. Reposting wins, sharing behind-the-scenes, voicing the company's POV in your own register. Most useful at a company you're proud of, with a marketing team that knows it.

Choose if You're committed to your current company and want to grow your own profile in lockstep with theirs.
Watch for Becoming a corporate megaphone with no independent voice. People follow you for you, not for the company. Mix advocacy with original POV.
III
Strategic Intent — Three

Sell Your Own

The account is a sales and brand-building channel for something you own — whether that's a company, a practice, or your time.

B2B Brand / Company Page

i.

The logo-led corporate page. Mostly underperforms — personal accounts at the company will get 5–10× the same content's reach — but every brand needs to own one. Use it for official announcements, recruiting, customer stories, and category leadership.

Choose if You're managing the corporate channel as part of a marketing function and need an official voice.
Watch for Treating it as your primary lever. Real energy belongs in founder and employee accounts; the page is the proof-of-life layer underneath.

Founder-Led B2B

ii.

The actual best practice for B2B brands on LinkedIn. The founder publishes — POV, lessons learned, category takes, customer wins — and the account outperforms the company page by an order of magnitude. Pipeline follows.

Choose if You're the founder, you can publish 2–5× a week, and your buyers spend real time on LinkedIn.
Watch for Treating this as a marketing channel separate from the work. The strongest founder accounts feel inseparable from the founder's day job. Outsourced posting reads as outsourced posting.

Solopreneur / Consultant

iii.

A personal account selling personal services — coaching, consulting, fractional work, freelance practice. Posts demonstrate the work, share frameworks, seed inbound inquiries. Positioning matters more than volume.

Choose if Your work is service-based, your audience is on LinkedIn, and you'd rather attract clients than chase them.
Watch for Becoming a content business by accident. If posting crowds out the work itself, the practice suffers. Schedule the cadence, then close the laptop.

Social Seller

iv.

A sales rep or SDR using content, comments, and targeted DMs to warm up prospects before the pitch. Posts build credibility in the buyer's space; comments build familiarity; DMs open conversations the cold email can't.

Choose if You sell something with a long buying cycle and need to be top-of-mind before the first call.
Watch for Spam disguised as social selling. The bar is: would I follow this person if I weren't a target? If not, recalibrate.
IV
Strategic Intent — Four

Movement & Belonging

People don't follow for content alone — they follow because they want to be part of something. The account organizes belonging.

Community Builder

i.

Run a cohort, paid community, alumni network, or industry forum. The community itself is the primary asset; LinkedIn is the discovery layer that brings people into it. Posts feature members, surface their wins, and signal what the group values.

Choose if You're a connector by nature, the community has clear shape and identity, and members benefit from finding each other more than from finding you.
Watch for Confusing audience-building with community-building. An audience listens; a community talks to itself. Retention and member-to-member contact are the metrics, not reach.

Cause / Advocacy

ii.

Organize professional energy around a cause — DEI, mental health, climate, accessibility, fair labor practices. LinkedIn is the most credible setting for this work because the audience carries professional stakes. Posts mix evidence, personal angle, and a clear ask.

Choose if You have standing on the issue (lived, professional, or both) and are committed beyond the post-and-move-on cadence.
Watch for Performative advocacy. The audience can tell when a stance is identity versus when it's content. The first builds movement; the second erodes credibility.
A Note on Hybrids

Most successful LinkedIn accounts are hybrids. Career Capital tends to underwrite the others — personal brands sell consulting, niche authorities seed communities, founders move pipeline through their own profiles.

Lead with one. Layer the next when the first is established.

If you can't name your account type in one sentence, that's the work.

A useful exercise: pick the type you think you're running, then look at your last twenty posts. Are they coherent with that intent? If not, one of two things is true — either the type is wrong, or the content is.

Most strategy problems on LinkedIn are framing problems wearing tactical clothing. Get the framing right and the tactics get a lot simpler.

Ready for the work?

Bring intentional framing to your digital presence.

Begin with the Presence Audit
Field Guide № 02 · LinkedIn · The Pathlit Method™
You're a Changemaker.
This community is for leaders who know that how you communicate your mission is just as important as the mission itself. Join us.
Name
Retainer Partnership Inquiry
Consultation Inquiry

Change Makers

Entrepreneurs, educators, & advocates driving social or cultural impact.

Change Management

Emotional Intelligence

Change-makers are the ones redefining what’s possible, redirecting the master narrative, and protecting communities.  

I’m here to help you transform bold ideas into sustainable impact. 

I thrive at the intersection of emotional intelligence and empathy-driven change management, helping you navigate the complexities of transformation with care and clarity.

Whatever you’re working toward, I would be honored to amplify the movement.

Creatives

Artists, filmmakers, writers, & designers looking to scale their vision.

Strategy

Analytics

Marketing Yourself

…these things tend to give even the most successful creators a case of the spookies.

Let us translate your genius and back it up with data and narrative.

We’re the team you call when the creative sparks fly but the details start to weigh you down.

From capturing those behind-the-scenes moments to brainstorming bold ideas or locking in the opportunities that take you to the next level, we’ve got you covered.

Organizations

Nonprofits, start-ups, mission-focused brands, & socially responsible companies.

Whether you need:

a creative partner

a strategist

an executor

all of the above

—I’m here for it.

I’ve worked with professionals at every level, from C-suites and executive directors to board members, strategists, managers, and individual contributors, making sure everyone understands their role and feels empowered to contribute to the project’s greater purpose.

Dear visitor,

Thank you for taking the time to explore my portfolio.

Every project here represents a relationship built on trust—trust from mission-driven organizations and individuals with big ideas and the courage to pursue them.

That trust is something I deeply respect.

Each campaign I’ve created, every strategy I’ve designed, and all the content I’ve crafted have been opportunities to amplify voices that matter, highlight meaningful work, and connect people through shared purpose.

For me, marketing isn’t about selling—it’s about serving. It’s about showing up with creativity, clarity, and commitment to help others bring their vision to life.

Thank you for being here. I hope my work inspires you to imagine what’s possible for your own purpose, and I look forward to the possibility of supporting your journey.

With gratitude,
Tess

Federated Learning

What is Federated Learning?

Federated learning is an AI training approach that enhances privacy and security by keeping data localized on users’ devices instead of centralizing it in one location. This decentralized method allows models to learn from data across multiple devices or servers while only sharing insights—rather than raw data—back to a central system.

In the context of AI responsibility, federated learning minimizes data exposure, reduces the risk of breaches, and supports compliance with data protection regulations like GDPR and CCPA. It also promotes ethical AI development by preserving user control over personal information and enabling more inclusive and privacy-focused AI systems.

Dynamic Workload Scheduling

What is Dynamic Workload Scheduling?

Dynamic workload scheduling is an energy-efficient computing strategy that adjusts when and where AI workloads are processed based on real-time conditions, such as renewable energy availability, electricity prices, and server capacity.

In the context of sustainable AI computing, it means shifting AI training or inference tasks to times and locations where renewable energy sources (like solar and wind) are abundant to reduce carbon emissions and energy costs.

How Does Dynamic Workload Scheduling Work?

  1. Aligning AI Training with Renewable Energy Peaks

    • AI training is extremely energy-intensive. Instead of running continuously, dynamic scheduling shifts AI computations to periods when solar or wind power is at its highest output (e.g., midday for solar or windy nights for wind energy).
    • This ensures more AI computations run on clean energy instead of fossil-fuel-generated electricity.
  2. Load Balancing Across Data Centers

    • AI tasks can be shifted between geographically distributed data centers based on energy efficiency.
    • Example: If a data center in California has low solar power due to cloudy weather, workloads may be dynamically moved to a Texas or Nevada data center where solar or wind power is abundant at that time.
  3. Taking Advantage of Variable Electricity Pricing

    • Some AI training jobs are flexible and do not need to be completed instantly.
    • AI models can be trained when electricity prices are lowest, often when renewable energy is overproducing (which can drive electricity prices down).
  4. AI-Optimized Scheduling Systems

    • Companies use AI-powered schedulers that analyze real-time grid demand, carbon intensity, and renewable availability to automatically allocate computing workloads in the most sustainable way.

Real-World Examples

Google’s Carbon-Aware Computing:

  • Google uses AI to shift computing tasks across its global data centers based on carbon intensity and renewable energy availability.
  • Example: If a European data center is running on coal-based electricity, the workload may shift to a North American data center where wind energy is peaking.
  • Google has developed a system called Carbon-Intelligent Compute Management, which actively minimizes the electricity-based carbon footprint by shifting flexible workloads to times when low-carbon power sources are most abundant. This approach allows Google to align its data center operations with the availability of renewable energy, thereby reducing overall emissions. Source

Microsoft’s Project Forge Global Scheduler: 

  • Microsoft uses dynamic workload scheduling to adjust the timing of cloud computing tasks to match times of peak renewable energy generation.
  • They also delay non-urgent AI training tasks until renewable energy is available.
  • Microsoft has introduced Project Forge, a global scheduler that utilizes machine learning to allocate AI training and inference workloads. This system schedules tasks during periods when hardware capacity is available and when renewable energy sources are plentiful, enhancing energy efficiency and reducing the carbon footprint of their data centers. Source

AI Accelerators

What Is an AI Accelerator?

An AI accelerator is a specialized hardware component designed to speed up artificial intelligence (AI) and machine learning (ML) workloads more efficiently than traditional processors like CPUs (Central Processing Units) or even GPUs (Graphics Processing Units). These accelerators are optimized for parallel processing, lower energy consumption, and high-performance AI computations.

How Do AI Accelerators Work?

Unlike general-purpose CPUs, which handle a wide variety of computing tasks, AI accelerators are custom-built for specific AI operations such as:

  • Matrix multiplications & tensor processing (core operations in deep learning).

  • Neural network training & inference (faster model execution).

  • Optimized data flow (reducing memory bottlenecks).

These accelerators reduce the energy and time required to train AI models and process real-time AI applications, making them crucial for sustainable computing strategies.

Examples of AI Accelerators

1. Google Tensor Processing Units (TPUs)

  • What it is: Custom-built by Google for deep learning workloads.

  • Why it matters: Uses less power than GPUs while accelerating AI model training.

  • Example: Google’s TPUs power Google Search, Google Photos, and AI-driven healthcare research.

2. AWS Inferentia (Amazon Web Services)

  • What it is: A custom AI chip designed for machine learning inference (running trained AI models efficiently).

  • Why it matters: Uses lower power and costs less than GPUs for AI-powered applications.

  • Example: Powers Alexa, AWS AI services, and real-time recommendations for e-commerce.

3. NVIDIA Grace Hopper Superchip

  • What it is: A hybrid CPU-GPU superchip designed for high-performance AI applications.

  • Why it matters: Reduces energy consumption while handling massive AI models like large language models (LLMs).

  • Example: Used in supercomputers, autonomous vehicles, and generative AI models.

GPU (Graphics Processing Unit)

A specialized processor designed for parallel processing, originally developed for rendering graphics. GPUs have thousands of smaller cores that can process multiple tasks simultaneously, making them ideal for AI, machine learning, gaming, and high-performance computing. Unlike CPUs, GPUs are optimized for large-scale data computations, enabling faster processing of complex mathematical operations.

AI Breakthroughs

Protein Folding Solution
  • Why it’s significant: Solving protein structures is crucial for drug discovery, disease research, and biotechnology.
  • Breakthrough: DeepMind’s AlphaFold AI system accurately predicts 3D protein structures, solving a decades-long problem in biology.
  • Impact: It has accelerated medical research, leading to potential new treatments for diseases like Alzheimer’s, cancer, and antibiotic-resistant bacteria.
  • Source: Nature
  • Why it’s significant: AI can now generate realistic images, music, and even videos from simple text prompts.
  • Breakthrough: Models like DALL·E, Midjourney, and Stable Diffusion have democratized access to creativity, enabling anyone to generate visual content.
  • Impact: Transforming industries such as marketing, entertainment, and education, while also raising ethical concerns about copyright and deepfakes.
  • Source: OpenAI Research
  • Why it’s significant: AI can now understand and generate human-like text, revolutionizing how we interact with machines.
  • Breakthrough: GPT-4, PaLM 2, and Claude have improved text comprehension, translation, and content generation at an unprecedented scale.
  • Impact: Used in customer service, education, accessibility (e.g., AI-generated close-captions), and automation in nearly every sector.
  • Source: OpenAI