Canright Communications

Content that connects

Technical Writing

5 Ways to Use AI Without Losing Your Voice

AI is revolutionizing how we write content. From blog posts to email campaigns, tools like ChatGPT, Jasper, and Copy.ai are making it faster and more accessible to generate written materials for marketing and sales.

But here’s the issue: A lot of it sounds the same.

If you’ve noticed a recent uptick in polished but personality-free articles, you’re not alone. As AI-generated content floods inboxes and search results, it’s never been more important to ensure your brand voice cuts through the noise.

At Canright Communications, we use AI strategically—to support, not replace—our content creation process. Why? Because no matter how advanced the tool, there’s no substitute for human insight, tone, and storytelling.


The Risk of “Blending In”

Relying too heavily on AI without oversight can result in content that:

-Sounds like everyone else in your industry

-Misses the mark with your target audience

-Strips out the personality that makes your brand recognizable

-Feels impersonal or flat, especially in relationship-driven industries

Let’s face it—AI is incredible at sounding polished, but it’s not great at sounding like YOU. Your customers don’t want to engage with a robot. They want to hear from your company, your team, your values.


5 Ways to Use AI Without Losing Your Voice

  1. Define (and Document) Your Voice: Is your tone authoritative and expert-level? Warm and approachable? Quirky and clever? We help our clients build brand voice guides with examples and style notes so that every piece—whether written by a person or polished by AI—feels consistent and authentic.
  2. Use AI for the Blueprint, Not the Building: AI is a great starting point. It can generate outlines, brainstorm headlines, and even provide rough drafts. But those drafts should always be reviewed and refined by a skilled writer—someone who understands your strategy, audience, and industry. That’s where we come in.
  3. Always Human-Edit for Clarity and Emotion: AI doesn’t know your customer pain points. It doesn’t pick up on nuance or irony. And it definitely doesn’t have your strategic goals in mind. We edit for impact—reworking AI drafts to connect emotionally, communicate clearly, and reflect the expertise behind your brand.
  4. Train AI with Your Content: AI performs better when trained with brand-specific content. Feeding AI tools high-quality samples, using strategic prompts, and even building reusable templates that mirror a client’s brand tone and structure can result in content that stands out from the rest.
  5. Balance AI with Original Thought Leadership: The best way to stand out? Say something only you can say. We help clients blend AI-assisted content with high-value originals—like client case studies, executive bylines, and expert Q&As. For your convenience, Canright now offers a Thought Leadership content writing service.


Why Your Company Needs Canright Communications

AI is a powerful tool—but it’s not a strategy. It doesn’t understand your mission, your clients, or the subtleties that define your brand. That’s where Canright Communications makes all the difference. We work with clients across industries—fintech, IT, architecture, finance, and professional services—to:

-Translate complex ideas into clear, compelling stories

-Maintain brand voice across content types and channels

-Leverage AI strategically without sacrificing originality or credibility

We’ve helped brands like Yodlee explain their API to non-technical decision-makers, and companies like Synechron position themselves as leaders in blockchain innovation. In both cases, our mix of thoughtful writing, technical expertise, and editorial precision ensured their voice—and their value—stood out.


Let’s Talk About Your Content

If you’re using AI to support your marketing and content creation but worried about losing your voice, let’s chat. We’ll help you build a strategy that blends smart automation with strong storytelling.

To learn more about our services, contact us at collin@canrightcommunications.com.

Unlock IT Excellence: Reliability as the Key to Enhancing Performance and Success

How important is reliability in your IT operations? Do you understand its impact on your team’s performance and overall organizational success? At Canright, reliability is not just important—it’s fundamental. The 2023 Accelerate State of DevOps Report emphasizes that strong reliability practices are key to enhancing operational and team performance, ultimately driving organizational success. 

For technical writers, the ability to clearly understand and communicate these practices is essential. This ensures that IT teams function efficiently and technology-driven organizations operate seamlessly. How well does your organization integrate these principles to achieve its goals?

Defining Reliability in IT Operations

Reliability in IT operations ensures that a service consistently meets its goals for availability, performance, and correctness. High reliability typically involves embracing Site Reliability Engineering (SRE) principles, which focus on empirical learning, cross-functional collaboration, extensive automation, and measuring performance through service level objectives (SLOs).

Key Reliability Practices

The report outlines three key aspects of reliability practices important for enhancing operational performance:

  1. Mitigation Plans for Dependencies: It’s vital to have solid plans in place to manage failures in dependent services. This involves pinpointing potential failure points and preparing contingency plans to handle disruptions effectively.
  2. Regular Testing of Disaster Recovery Plans: Simulating disruptions and testing disaster recovery plans are crucial. These exercises help teams prepare for real-world scenarios, identify gaps, and enhance system resilience.
  3. Improvement Work After Missing Reliability Targets: If reliability targets are missed, it’s important to undertake improvement initiatives, reprioritize tasks, and adjust strategies. Embracing a continuous improvement approach helps tackle the root causes of failures and prevents future issues.

The Role of Technical Writers

Technical writers are pivotal in documenting and communicating these reliability practices. Their work in crafting clear, concise, and comprehensive documentation ensures that all team members are well-versed in the necessary procedures and protocols to maintain high reliability. This includes producing detailed guides on mitigation plans, disaster recovery testing, and post-incident improvements.

The J-Curve of Reliability Practices

The relationship between reliability practices and operational performance is not linear and is often depicted as a J-curve. Initially, teams might see quick wins, but as complexities mount, progress may slow. However, a sustained dedication to these practices will ultimately lead to significant operational improvements, emphasizing the importance of perseverance and ongoing enhancement.

Impact on Team Well-Being

Teams that implement strong reliability practices experience enhanced productivity, higher job satisfaction, and reduced burnout rates. This boost in well-being can be attributed to several SRE practices, such as:

  • Reducing Toil: Automating routine and manual tasks allows more time for valuable work.
  • Blameless Postmortems: These foster a learning culture by reviewing incidents without assigning blame.
  • Team Autonomy: Empowering teams to make decisions enhances job satisfaction and engagement.

Operational Performance as a Catalyst

Operational performance, fueled by sound reliability practices, serves as a catalyst for further positive outcomes. It not only meets user expectations but also enables teams to innovate and deliver value more effectively. 

For technical writers, understanding and articulating the importance of these practices is key. By documenting and sharing best practices, they help IT teams achieve top performance, enhancing both team well-being and organizational success. At Canright Communications, reliability is more than a technical objective; it’s a strategic imperative that reshapes how organizations operate and deliver value to their users. Through clear documentation, technical writers unlock the full potential of IT operations.

To learn more about our services, contact us at collin@canrightcommunications.com.

Documentation: The Foundation of Effective Technical Communication

When it comes to technical documentation, the ability to communicate complex information clearly and effectively is crucial. Technical writing bridges the gap between intricate technical knowledge and its practical application, ensuring that critical information is accessible, understandable, and usable.

Documentation, a key output of technical writing, serves as the backbone of clear communication and efficient operations across various industries, from software development to healthcare and finance. Its importance is magnified in fields that demand precision and collaboration, such as DevOps, where it underpins every aspect of project execution and management.

Application in DevOps

Within the context of DevOps, technical writing takes on additional significance due to the iterative and collaborative nature of the practice. DevOps teams rely heavily on documentation to manage software development and operations efficiently. For example, continuous deployment practices benefit greatly from well-documented guidelines that help maintain stability and speed in software releases. This ensures that all team members, regardless of their role or when they join the project, can understand and follow the necessary procedures to maintain productivity and quality.

Enhancing Collaboration and Knowledge Sharing

Effective technical writing facilitates collaboration across diverse teams by providing clear, accessible documentation. This is crucial for maintaining project continuity, particularly in fast-paced environments. For example, companies like Google have demonstrated a significant decrease in onboarding times for new developers due to standardized documentation practices, which have streamlined the integration process by providing quick access to essential project information.

Supporting Continuous Improvement

One of the key benefits of thorough technical documentation is its role in supporting continuous improvement within organizations. By keeping detailed records, such as software changes and testing outcomes, technical writers enable teams to analyze past actions and refine their strategies. For instance, analyzing deployment logs might reveal optimal times for updates that minimize disruptions, enhancing future project planning.

Aiding Compliance and Security

For industries regulated by strict compliance standards, such as healthcare or finance, technical documentation is a vital tool for ensuring that all processes meet legal requirements. Detailed records of security protocols and compliance measures are crucial. The effectiveness of such documentation in easing compliance burdens was highlighted in an article by LearnNexus, which showed how well-maintained records could reduce compliance costs significantly.

Reducing Dependency on Key Individuals

Quality documentation in technical writing reduces an organization’s dependency on individual team members by decentralizing knowledge. This ensures that projects can continue smoothly even if key personnel are unavailable, preventing potential bottlenecks and facilitating smoother transitions and scalability.

Facilitating Better Decision Making

Technical writers gather and document critical data that aids in strategic decision-making. By providing a reliable foundation of data through documentation, they enable leaders to make informed choices regarding tool selection, methodology adoption, and investment in technology, which can substantially reduce technological debt and increase efficiency.

Technical writing, through its focus on creating detailed, structured documentation, plays a pivotal role in enhancing operational efficiency and decision-making across various sectors. Organizations that invest in high-quality technical documentation can achieve more streamlined operations and improved project outcomes, reinforcing a culture that values precision and accountability.

To learn more about our services, contact us at collin@canrightcommunications.com.

You’re Under Surveillance

The New York Times last week ran an article headlined “Automakers are sharing consumers’ driving behavior with insurance companies.” I didn’t think much of it. Until I finished my weekly dose of the Times’s Hard Fork Podcast, which featured “Your Car is Snitching,” an interview with Kashmir Hill, the Times reporter who wrote the story.

Hard Fork hosts Kevin Roose, a Times tech reporter, and Casey Newton, who writes the Platformer newsletter, promised that “the more of this story you read, the higher your blood pressure goes.” They are correct.

Even as someone who has complained that the tech giants are making tons of money on my personal data, this story got me. I had no idea that automakers would collect and sell data on my driving behaviors.

It’s more than cars, too. Suffice it to say that data collection and sales without consumer permission or knowledge are ubiquitous in today’s connected economy.

My first reaction was, I’m glad I own a VW because they weren’t on the list, though that doesn’t mean VW isn’t selling my data. It would be difficult to tell because the disclosures are vague at best.

That’s one of the problems, and not just with cars. Kevin, Casey, and Kash broadened the story to all things connected to the internet. The surveillance capitalism model pioneered by Google, Yahoo, Meta, Amazon, and others who give you free tech in exchange for the ability to monetize your data, is spreading to all internet-connected companies.

Kevin noted that he bought a smart TV and, while shopping around, realized that the smart TVs, in some cases, cost less than nonconnected TVs. Smart TVs sell data, even though you wouldn’t know it, though you might figure it out if you read the legal fine print and made a few leaps of logic.

I expect Amazon to collect my data and present me with offers. It’s called personalization, and I like it. I expect it from Netflix, as annoying as it can be to see tons of stuff presented faster than I can stop it. I expect it from marketers of all types. I don’t expect it from my car or my new TV, which does, it turns out, collect my data.

I found out by following a path starting with the Set Up gear on the TV’s Home dashboard.

General to System to Additional Settings. That seemed promising.

Additional Settings to—there it is—Advertisement.

TV Data Collection Settings Location

On Advertisement, you see that the default is to give you the benefit of advertisements tuned to your viewing preferences, aka, data collection. It’s already granted permission to collect, too.

TV Data Collection Settings Opt-Out Controls

I selected both options: Reset AD ID so that any tracking would take place under new ID, then clicked the Limit AD Tracking switch to turn it on (green).

To be fair, I have followed an opt-out email marketing model. It’s expected. People know how to opt-out. It’s easy. There are regulations for that sort of thing.

There are no explicit disclosure and permission regulations for cars and TVs and refrigerators and who knows what else, at least not in the U.S. If you’re online (or walking down the street with your mobile turned on for that matter), you’re under surveillance.