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A technical consultancy for AI, devtools, and technical teams.
We help teams build, evaluate, explain, and ship technical work when the problem crosses product, engineering, DevRel, and content.
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Choose the technical constraint you need to move.
Start with the path closest to the bottleneck: developer trust, AI execution, or technical content that proves the product.
DevRel & Community
DevRel consulting for teams building physical AI, AI agents, and devtools that need developer trust and inspectable proof.
result: A clearer DevRel strategy, stronger developer proof, and a practical path for content, community, events, or hiring.AI Engineering Consulting
Practical AI engineering from prototype to proof.
result: Useful prototypes, clearer model decisions, stronger evaluations, and fewer expensive false starts.Technical Content & Creator Strategy
Technical content and creator strategy for AI and developer-tool companies.
result: Tutorials, demos, launch content, and creator partnerships that developers can inspect and trust.teds read --topic devrel
DevRel field notes for AI companies.
How to plan, hire, and measure developer relations for AI agents, devtools, and physical AI.DevRel strategy,developer evangelism, andevery service.
- DevRel in AI: The Strategy & Playbook for AI Companies
- DevRel for AI Developer Tools: The Playbook for Devtools That Actually Ship
- DevRel for AI Agents: Building Developer Trust When Code Generates Code
- DevRel for Physical AI and Robotics: Engineering Advocacy for the Real World
- AI Didn't Kill the DevRel Interview. It Made the Old Tricks Load-Bearing.
- A 30/60/90 Day DevRel Plan for AI and Devtool Startups
- The First DevRel Hire Should Not Be a Megaphone
- How to Hire a Developer Advocate Who Can Actually Build
- How to Measure DevRel Without Vanity Metrics
- The Developer Trust Ledger
- Use the Forward Deployed Engineer Model for Your DevRel
- DevRel vs Developer Marketing vs Community: What You Actually Need
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Proof lives in the work.
Technical notes, build logs, and practical writing will carry the credibility without logos or borrowed credibility.
Construction-Site-Traversability: Robot Loops With Camera, Range and Lidar in FiftyOne
A tracked robot drives closed loops through two active construction sites. Scrub RGB, range, lidar, GNSS and odometry together in FiftyOne.
BlogGR00T-X-Embodiment-Sim: Seven Robot Bodies, 42 Episodes, Compared in FiftyOne
GR00T-X-Embodiment-Sim has six episodes from each of seven robot bodies. Compare cameras and joint telemetry on one timeline in FiftyOne.
Blogegodex-test-multimodal: 68-Joint Hand and Body Pose With Egocentric Video in FiftyOne
EgoDex pairs Apple Vision Pro video with 3D pose for 68 body and finger joints. Browse 3,243 test episodes with a 3D skeleton in FiftyOne.
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The newsletter.
New AI research, developer tools, and physical AI experiments, sent at least monthly and never more than weekly.
Issue · Why Vision-Language-Action Models Struggle on Real Robots
Five fresh research breakthroughs that fix token latency, camera view conflicts, 3D geometry blindness, and sensor noise in robot learning.
Read on Substack →
Issue · Cameras Can't Catch a Slip That Takes 15 Milliseconds
I'm back, with a new focus for this newsletter and three 2026 papers on tactile sensing for dexterous manipulation.
Read on Substack →
Issue · NeurIPS Recap Week - Day 3
Jeff Dean's keynote which discusses how ML is revolutionizing computer systems and Phillip Isola on the platonic representation hypothesis
Read on Substack →$ teds contact --start
Bring the messy technical problem.
We will help turn it into the right next move.