Defense and government program operations
Built for the analyst whose name is on the brief
Your shift opens across seven public feeds and the first brief is due before the picture is complete. This page is written in your units: feeds, minutes, names, and records. At the bottom is what has already been built for exactly this work.
The cost is measured in feeds, minutes, and names
No benchmarks and no promises here. Just the shape of the week, stated the way you would state it.
Feeds per shift
Aviation, seismic, weather, cyber, news, sanctions, and the rest. Each lives in its own window with its own layout, and none of them wait for you.
Minutes to first brief
The brief is due before the picture is complete, so the gap between what you have seen and what you can stand behind is yours to close.
Name per recommendation
Every recommendation you forward carries your name, not the tool's. A wrong call is yours. A missed one is yours too.
Re-checks after hours
A feed you did not check is a gap you own, so the re-check follows you home and into the weekend.
Record per decision
When leadership asks who approved an action, the answer has to exist in a record, not in someone's memory.
Hours back per new tool
New tooling usually arrives as one more screen to watch. It only counts if it gives hours back.
Do not take our word for it
These teams have no stake in ELI Labz. Their numbers are theirs, their methods are published, and the range between them is the honest picture.
+14% output per hour
5,179 customer support agents working with a generative AI assistant, measured on issues resolved per hour. The gain rose to +34% for the least experienced agents.
Brynjolfsson, Li, and Raymond (MIT and Stanford)
NBER Working Paper 31161
-19% speed
16 experienced open-source developers across 246 real issues from their own repositories. With AI tools they finished slower, while predicting before and after that the tools had made them faster.
METR, an independent research nonprofit
Randomized controlled trial, July 2025
Included on purpose. The gap between felt speed and measured speed is the reason every claim on this site comes with a record.
+55% faster
95 developers timed on one standardized task in a controlled experiment run by the tool's own vendor.
GitHub and Accenture researchers
Peng et al., 2023
Vendor-run, so weigh it accordingly.
Tick what is true this month
The same check from the front page, here because it is the fastest way to name the stall before anyone sells you a model.
Your result
Tick every line that is true this month
One tick is enough to name where the loop is stuck. Two or more usually means the record is missing rather than the model being weak.
Nothing is stored. The result lives in the page link, so you can send it to whoever owns the workflow.
Credentials issued by organizations that are not us
Each line below is awarded, held, or defined by a third party, and each can be checked with that third party directly.
PMP
Standing behind it: Project Management Institute
The program management practice behind this work is certified by PMI. The credential is issued by them and verifiable through their registry, not through us.
Certified ScrumMaster
Standing behind it: Scrum Alliance
Delivery discipline is certified by the Scrum Alliance. Their credential, their registry, their word behind it.
Azure AI
Standing behind it: Microsoft
The Azure AI delivery experience is certified by Microsoft and verifiable through their credential system.
Service record
Standing behind it: U.S. Marine Corps
More than fifteen years around defense programs and a USMC aviation operations record. That history is held by the Marine Corps, not by this site.
RAIL license
Standing behind it: An outside research community
ELI Labz artifacts ship under a RAIL license, a use-restriction framework defined outside this company. The standard the work answers to was not written by us.
One deployment you can open right now
Not a demo video and not a slide. The workspace is live, the review design is written down, and the source is public.
Third Eye
The feeds above load into one map-centered workspace, viewport by viewport, each layer independently switchable. The advisory path is feature-flagged, written down as decision support only, and ends at a person who reviews and records every recommendation before anything moves.
Read the full case studyPut this page in front of the right person
This page travels by forwarding, not by advertising. If it describes someone's week, send it to them directly.
Claim boundaries
- The credentials above are issued and verifiable through their own organizations. ELI Labz does not speak for PMI, the Scrum Alliance, Microsoft, or the U.S. Marine Corps.
- Third Eye is our own published deployment, not a client engagement. No customer name, contract, or measured client result is claimed on this page.
Start small
Architecture review
Bring one workflow your Crew already runs. You leave knowing where it is safe to give an Intelligent Machine System more responsibility, with a written summary you can forward.
$250 per hour, 2-hour minimum.
No budget to spend yet? Send one failing run and the check that should have caught it, and you get a one-paragraph read back on where it is stuck. That costs nothing and starts no engagement.
dmesa@e-l-i.net