What Drives the Coverage
Every piece I publish reflects a set of editorial commitments I don’t negotiate on, regardless of the topic, the source, or the news cycle.
Critically Optimistic
Excited about AI’s potential. Skeptical of specific claims. Never dismissive, never credulous.
Technically Grounded
Real specs, benchmarks, and architecture details when available. I show my work.
Hype-Aware
I cover what people are talking about — then separate demonstrated capability from marketing promises.
Marketing-Resistant
I call out vaporware, overpromising, and scratched lottery tickets. No one buys placement here.
Beginner-Accessible
Jargon explained on first use. Complex concepts made accessible. Beginners welcome, professionals not bored.
Alignment-Conscious
AI safety and ethics taken seriously without fearmongering. The risks are real — and so is the potential.
No Hidden Agendas
TemperatureZero is independently owned and operated. There are no venture capital backers, no corporate parent, and no advertising relationships that influence editorial decisions.
I do not accept payment for coverage. I do not run sponsored content disguised as editorial. If I ever introduce affiliate links, sponsorships, or any form of commercial relationship, it will be disclosed clearly and prominently.
My only obligation is to the reader. If I can’t tell the truth about a product, company, or trend, I don’t cover it.
Accuracy & Sourcing
Every factual claim I publish should be sourced and verifiable. I maintain clear distinctions between what has been announced, what has been demonstrated, and what has actually shipped. These are different things, and I treat them that way.
- Primary sources first. I prioritize original papers, official announcements, and firsthand data over secondhand reporting.
- Claims are labeled by confidence. I distinguish between confirmed facts, reported claims, and my own analysis. Speculation is always flagged as such.
- Numbers are verified. When I cite benchmarks, funding amounts, or performance metrics, I verify them against the original source — not the headline.
- Corrections are published openly. If I get something wrong, I correct it in place with a visible note explaining what changed and why. I don’t silently edit.
- Thin stories stay thin. If I don’t have enough detail to write a substantive analysis, I say so rather than padding the piece with filler.
How I Handle Overhyped Stories
When a story generates buzz disproportionate to its substance, I don’t ignore it — and I don’t amplify it. I apply a consistent framework:
- What’s being claimed. The headline version — what the company, lab, or source says happened.
- What’s actually been demonstrated. The evidence. Working product, peer-reviewed paper, independent benchmark — or just a press release?
- What I don’t know yet. The gaps. Missing benchmarks, untested edge cases, undisclosed limitations.
- What it means for readers. Practical implications. Should you care? Should you act? Or should you wait?
I never dismiss a story because it “smells like hype,” and I never condescend to readers who are excited about something. If people are talking about it, it matters — my job is to explain what’s real.
How I Use AI in My Work
TemperatureZero uses modern research and production tools, including AI-assisted workflows. I believe in transparency about this.
What AI does in the pipeline
The daily briefings are produced by an automated n8n pipeline: RSS feed aggregation → AI research synthesis (Claude) → editorial formatting → published every morning. Featured images are generated by DALL-E 3 and are always labeled as AI-generated.
AI-assisted research helps me process large volumes of sources quickly. Drafting tools help me structure analysis efficiently.
What I do — always
Publication decisions, editorial framing, analysis, and final judgment remain mine. I decide what stories matter, what angle to take, and what to say about them. AI is a tool in my workflow, not my editor.
All pillar articles, opinion pieces, and feature stories reflect original human judgment, reporting, and editorial voice.
I do not present synthetic work as something it is not. When images or production elements are AI-generated, they are labeled accordingly.
What I Verify Before Publishing
Every article — whether automated or manually written — passes through my editorial checklist before it reaches readers:
- Accuracy: Facts sourced and verifiable. Technical claims precise. No speculation presented as fact.
- Clarity: Jargon explained. Complex concepts accessible. Beginners can follow, professionals aren’t bored.
- Voice: Tone matches TemperatureZero standards. Humor serves clarity, never distracts. Skepticism is reasoned, not reflexive.
- Value: Reader understands what happened and why it matters. Article is worth their time.
- Integrity: No hidden agendas. Hype identified and deflated. Real limitations acknowledged. Sources credited.
- Sources: All links functional. Primary sources prioritized. Attributions clear.
External Contributors
TemperatureZero occasionally works with outside analysts, researchers, and writers. All contributed work is held to the same editorial standards as my own. Contributors retain their byline and voice, but all pieces are edited for accuracy, clarity, and alignment with these editorial principles.
Contributors may use AI-assisted workflows for research or drafting, but all accepted work must reflect original judgment, accurate sourcing, and meaningful editorial value. I don’t publish AI-generated filler, regardless of who submits it.
When I Get It Wrong
I make mistakes. When I do, I fix them transparently:
- Factual errors are corrected in place with a visible correction notice stating what changed and when.
- Significant analytical errors receive a follow-up note or updated piece explaining the revised assessment.
- Minor typos and style fixes are corrected without a formal notice, but I never silently alter the substance of a published claim.
If you spot an error, I want to hear about it. Reach out via the contact page and I’ll investigate promptly.