AI Research You Can Ship
We scan thousands of papers to find the ~5% with real implementation value. Curated for practitioners who need to build, not just read.
The Real Problem
Over 1,000 AI papers are published every month. Labs like Google DeepMind, OpenAI, Anthropic, and Meta AI release research that could transform how you build.
But here's the reality: ~95% of papers are theoretical, incremental (+0.3% on benchmarks), or require infrastructure only Google has. The few papers with real implementation value are buried in noise. Finding them is a full-time job no one has time for.
You don't need someone to simplify papers. You need someone to find the right papers.
Built for Practitioners
Tekta.ai curates research for people who ship AI products, not people who publish papers.
ML Engineers
Get papers with code or clear implementation paths. Architecture details, parameter choices, production gotchas. Skip the theoretical noise, focus on what you can build this quarter.
Product Managers
Know which AI capabilities are ready to ship and which are still academic. Make roadmap decisions based on what's actually implementable, not what sounds impressive in abstracts.
AI Executives
Strategic intelligence on what's real vs hype. Understand which advances will matter for your industry and which are benchmark gaming. Make bets based on substance.
Technical Leaders
Stay current without drowning in papers. We do the scanning so you can focus on decisions. Every paper we cover has passed our three-gate actionability filter.
What You Get
Rigorous Curation
We scan 1000+ papers monthly and filter down to the ~5% with real implementation value. Three gates: has code/path, meaningful improvement, runs on your infrastructure.
Actionability Filter
Every paper we cover either has code or a clear implementation path. If you can't build something from it, we don't cover it. No theoretical-only papers.
Implementation Blueprints
What the paper doesn't tell you: tech stack recommendations, code patterns, parameter choices, and production gotchas. The stuff that's never in the abstract.
Practitioner Perspective
Written by someone who implements papers, not just reads them. Honest assessments of what works, what doesn't, and what's hype vs substance.
Visual Explanations
D3.js charts and architecture diagrams that make complex methods concrete. See the data, understand the trade-offs, explore results interactively.
Time Respect
TL;DR summaries up front. Get the core insight in 30 seconds. Dive deeper only if you need to. We do the reading so you can do the building.
Curated from Leading Labs
We scan papers from these organizations and filter for actionability:
See What Passed the Filter
Browse papers that survived our three-gate curation process. Every article has code or a clear implementation path.