Technical report
A formal document describing a technical system, its design rationale, its performance, and its limitations, written for an expert audience. In competitive robotics (DARPA challenges, RoboCup, international competitions), a technical report is submitted alongside the physical demonstration and is evaluated independently. A capstone README at its most rigorous approaches the structure and intent of a technical report at program-appropriate depth.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Foundations of Robotics and Physical AI.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A formal document describing a technical system, its design rationale, its performance, and its limitations, written for an expert audience. In competitive robotics (DARPA challenges, RoboCup, international competitions), a technical report is submitted alongside the physical demonstration and is evaluated independently. A capstone README at its most rigorous approaches the structure and intent of a technical report at program-appropriate depth.
A document describing methodology and results, often from an industry lab, national laboratory, or standards body, that may be rigorously produced without undergoing formal academic peer review. Evaluated using the same reproducibility signals as a peer-reviewed paper rather than dismissed or trusted based on venue alone.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Demonstrate, document, and defend: your first portfolio piece · Capstone: Build and Program a Simulated Mobile Robot, Foundations of Robotics and Physical AI
- Reading a research paper and extracting what matters · Research, Benchmarking, and Staying at the Frontier, Engineering Judgment and Professional Formation
Where it shows up at work
A definition is where Technical report starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Explains training, tokens, context windows, embeddings, retrieval and fine-tuning well enough to ask an engineer a precise question and spot weak evidence.
One lesson on this page teach it as a primary outcome.
Reads bills and rules like a practitioner, compares options with costs and unintended effects, and writes briefs a decision-maker can act on.
One lesson on this page teach it as a primary outcome.
Runs stage gates, intake, decision logs and evidence repositories so a pilot cannot reach production without the required approvals.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- AI Policy Analystneeds it at depth · 7 open postings this week
- Chief Technology Officer, AI engineering editionneeds it at depth
- AI Security Architectneeds it at depth · 8 open postings this week
- AI Evaluation Specialistneeds it at depth · 6 open postings this week
- AI Governance Engineerneeds it at depth · 7 open postings this week
- AI Model Validatorneeds it at depth
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: PMBOK.
One interview question about it
Explain how a large language model produces an answer, at the depth a governance decision needs and no deeper.
Asked of candidates for how models work, at a governance depth. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Data analysis, stewardship and business intelligence carries it as a claim to back up: SQL and analytical fluency make the technical layer approachable.
- Model risk, credit risk and quantitative analysis carries it as work you can show: Quantitative fluency is demonstrated in your work.
- A computer science or software engineering degree carries it as work you can show: You have trained or integrated a model in coursework or a project.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.