Not thought leadership for its own sake. Analysis, guides, and dispatches from a team that builds the systems it writes about.
The MIT study statistic is real. 95% of AI deployments fail to deliver ROI. Not because AI doesn't work — because it's deployed wrong. Here's the honest diagnosis and the five non-negotiables for the projects that actually deliver.
Category overview from our corporate research. Each of the 10 categories gets a section. Direct "we can help with this" positioning — backed by Gartner and McKinsey data.
Financial decision-makers need ammunition. This gives them the framework and positions DevThing as the partner who delivers measurable, defensible results with real numbers.
Technical leadership needs a roadmap that actually works. We provide one — and subtly show that our engagement model IS the roadmap, built from real deployments.
Security is our differentiator — and this article proves it. DHS/CISA background gives us authority other consulting firms can't match on this topic. IBM Cost of Breach data included.
Menlo Ventures data is compelling. This article positions consulting as the smart choice — not the lazy one. An honest look at when to build vs. buy vs. partner.
Timely, data-driven analysis that positions DevThing as the team that builds these agents — because we do. What the Gartner prediction actually means and how to act on it.
Career advancement is universal. From resume optimization to interview prep to salary negotiation — practical and immediate. Based on the #1 reason individuals are adopting AI.
Solo founders are desperate for leverage. AI is the answer. DevThing is the proof — we use AI internally to operate at a level that would require a team of 20 just a few years ago.
Money motivates clicks. Trading bots, freelancing, content creation — all things DevThing has direct experience building. Not hype — these are real income streams with real mechanics.
46% of Americans already use AI for finances. This practical guide cuts through the noise with tool recommendations and real workflows — not generic advice.
Regulated industries need this content. A practical guide to implementing AI within strict compliance frameworks — from someone who has actually done it under federal scrutiny.
Outcome-focused. Shows what "exponential, not incremental" actually looks like in practice — with real before/after operational comparisons across multiple industries.
We build what we sell. Here's a behind-the-scenes look at the architecture, decision-making, and hard lessons learned from one of our internal AI trading systems.
Our voice AI work spans customer intake, professional services, and high-volume outbound. Here's what we learned about the gap between "technically working" and "actually good."
We built the recruiting AI we use internally. Screening 10,000 candidates surfaced problems with AI bias, edge cases, and candidate experience that most vendors never talk about.
The insights are free. The transformation takes a conversation.