We write practical guides about natural language generation for quarterly reports
Researching automated narrative writing practices and documenting what actually works for Calgary analysts.
Why we started this
When we looked at what Calgary analysts actually needed, we kept hearing the same thing: there's a lot of hype about natural language generation for reports, but very little honest guidance about how to use it. Most resources either oversell what NLG can do or get lost in technical jargon. Neither helps someone who's trying to actually get work done.
We started Narrative Pulse because we wanted to fill that gap. We're not selling software or promising miraculous time savings. We're here to research how NLG and automated narrative writing actually work in practice, document the real benefits and real limitations, and write guides that analysts can trust and use immediately.
Our focus is practical. We investigate tools, test workflows, talk to people doing this work, and figure out what genuinely helps. We check every technical detail before we publish. We revisit older content regularly as tools and best practices change. And we write in clear, direct language—no marketing speak, no unnecessary complexity.
What we check in every guide
Our editorial process is built around verification and clarity. Here's what happens before any guide goes live.
Research current practices
We investigate what's actually happening in the field—what tools analysts are using, what workflows are emerging, where the real pain points are.
Verify technical details
We test examples, check tool capabilities, confirm that recommendations actually work. If something doesn't hold up in practice, we don't publish it.
Write clearly
We explain both what works and what doesn't. No hype, no overselling, no unnecessary jargon. Readers should finish knowing exactly what to try next.
Keep content current
The NLG field moves fast. We revisit guides regularly, update examples as tools evolve, and retire content that's no longer useful.
What guides our editorial approach
Usefulness first
We choose topics by listening to actual questions from the analyst community. Every guide needs to solve a real problem or answer a real question.
Honesty about trade-offs
NLG isn't a perfect solution. We talk about what it does well, where it falls short, and when it might not be the right choice for your situation.
Grounded in reality
We test what we write about. Our examples aren't theoretical—they're based on actual workflows and real tool behavior.
Clear writing
No marketing language, no unnecessary jargon, no filler. We explain technical concepts in straightforward terms so the guide is actually useful.
Regular updates
As tools improve and best practices shift, we update content to stay current. If something's no longer accurate or useful, we fix it or replace it.
No hype
We don't oversell what NLG can do or promise results we haven't verified. We write for people who need honest information, not marketing.
Narrative Pulse Editorial Team
We're based in Calgary and focused on understanding how natural language generation works in real analyst workflows.
Our team researches current practices in automated narrative writing and natural language generation for financial reporting. We test approaches, document what works, and investigate real-world scenarios to ensure our recommendations are grounded in actual practice.
We check all technical details and examples before publishing, and we revisit content regularly to keep it current as the field evolves. Our goal is straightforward: produce guides that analysts can trust and use immediately, with no fluff or overselling.
We write in clear, direct language. We explain both benefits and limitations honestly. We avoid hype and focus on what actually helps people do better work. That's what we're here for.
What we've built
Comprehensive guides on NLG for reporting
In-depth articles about automated narrative writing
Regularly updated content for current practices
Ready to explore NLG for your reporting?
Start with our guides on natural language generation and automated narrative writing. Each one walks you through practical steps you can implement immediately.