Enterprise delivery
The company site explains customer missions, staffing, and how capability transfers into an operating team.
Read the AI delivery pod guide → THE SIGNAL WORKING NOTES
AI-native training, explained through the work.
Guides for developers, product managers, project managers, and forward-deployed engineers. Explore the methods, inspect an example, and find a useful next step.
- Show Me Your PortfolioSam M. Sweilem explains how to build an AI engineering portfolio that another person can inspect, including when your enterprise work has to stay private.2026-09-096 MIN READ
- Implement the Claude AI-native SDLC playbook around one accepted change.A practical enterprise pilot: connect a real problem to a bounded change, inspectable acceptance evidence, and a handover that another person can use.Sep 8, 20265 MIN READ
- FDE pods need handoffs that the next person can test.Train product managers, project managers, developers, and forward-deployed engineers to exchange decisions and evidence that survive beyond the original conversation.Sep 8, 20264 MIN READ
THE INDEX · AUTHORED FACTS
- Essays published
- 21
- Training guides
- 8
- Topics indexed
- 4
- Field-reference definitions
- 65
- Total reading time
- 135 MIN
- Most recent
- 2026-09-09
Counted from the published set in this repository. The whole index is also a feed: /signal/feed.xml.
Start with your question
02 THE ARCHIVE
Every essay, newest first.
Sep 8, 2026AI SDLC
Implement the Claude AI-native SDLC playbook around one accepted change.
A practical enterprise pilot: connect a real problem to a bounded change, inspectable acceptance evidence, and a handover that another person can use.
Sep 8, 2026POD DELIVERY
FDE pods need handoffs that the next person can test.
Train product managers, project managers, developers, and forward-deployed engineers to exchange decisions and evidence that survive beyond the original conversation.
Sep 8, 2026AI TRANSFORMATION
Measure AI transformation at the point where work is accepted.
An operating scorecard for AI-assisted delivery: accepted outcomes, total effort, review queues, escaped failures, and the cost of keeping the work useful.
Sep 8, 2026LEARNING GUIDE
Learn agentic coding by owning one complete delivery loop.
A practical starting path for nontechnical learners, working developers, and aspiring forward-deployed engineers: what to study, what to build, and what evidence to keep.
Sep 6, 2026PRODUCT PRACTICE
AI-native product management training starts with a decision.
A practical learning path for product managers: frame an outcome, test the important risks, turn examples into evaluations, and make a release decision with the team.
Sep 6, 2026DELIVERY PRACTICE
AI training for project managers should rehearse the hard handoffs.
Learn to use AI in planning and coordination while practicing the decisions a delivery lead still owns: dependencies, evidence, change, escalation, and operational handover.
Sep 6, 2026TEAM LEARNING
How pod-based AI training turns individual practice into shared delivery.
A pod needs a shared mission, distinct responsibilities, usable handoffs, and evidence from every learner. Here is a practical way to teach the work without losing individual accountability.
Sep 6, 2026BUYER GUIDE
How to choose an FDE training program you can inspect.
Evaluate forward-deployed engineering training through the work learners produce, the feedback they receive, and the evidence behind a credential. Use these questions before committing to a program.
Sep 5, 2026FIELD GUIDE
Build the third layer before anyone hires you for it.
The forward-deployed engineer title is in demand because one layer of the job is scarce, and that layer is not the one a course teaches. Here is what the layer is, why it is only learnable against a live operation, and three projects that prove it without an employer.
Sep 1, 2026MANIFESTO
Design for operators, not completion.
Watching an expert work is not the same as doing the work. LockedIn Labs is built around that difference — a graph instead of a catalog, proof-of-work instead of completion, and a defined cohort operating model that activates only when a cohort is contracted and staffed.
Aug 31, 2026FIELD GUIDE
What is a forward-deployed engineer? Skills, responsibilities, and preparation.
A forward-deployed engineer works close to a customer to understand a problem, build and integrate a solution, and support its use. Explore the skills, team responsibilities, and evidence to practice.
Aug 25, 2026ENGINEERING
Before you blame the model, inspect the contract
A composite failure scenario shows how an ambiguous tool schema can turn a capable model into an unreliable operator — and why a common protocol is plumbing, not proof of contract quality.
Aug 18, 2026METHOD
Completion records presence. Proof-of-work records evidence.
Completion records participation. Proof-of-work can support a narrower, more useful claim: what a learner produced, the standard applied, and the provenance of the verdict.
Aug 12, 2026PRACTICE
The faster the agent, the stronger the engineering loop.
Matt Pocock's public talks and open-source workflow make a useful point for AI-native engineers: faster generation raises the value of alignment, shared language, feedback, and deliberate system design.
Aug 11, 2026MODEL
Designing the expert desk: the telehealth model
A design proposal for an artifact-first consult service. The workflow is in product preview; live booking activates only after the founding roster has coverage.
Aug 7, 2026METHOD
The frontier moves. The standard holds.
AI Fieldcraft is the practice discipline inside LockedIn Labs: a repeatable path from unfamiliar capability to evidence, controls, release, and measured operation — without creating another course ladder or product.
Aug 4, 2026FIELD GUIDE
AI native, under regulation: a field guide
Healthcare and financial services aren't anti-AI — they're anti-unaccountable. Treated as a design constraint rather than a blocker, regulation sharpens the system instead of slowing it.
Jul 29, 2026THESIS
Your work is the curriculum.
Generic AI curricula train everyone identically and send them home to unchanged work. Personalization fixes that — but personalization is an assessment problem, not a settings toggle. How our instrument reads the way you actually work, and builds the training path from there.
Jul 29, 2026FIELD NOTE
What is AI-native training? A guide for people and teams.
AI-native training combines tool fluency, role-specific practice, feedback, and evidence of useful work. See how developers, product managers, and project managers learn individually and in pods.
Jul 28, 2026PLATFORM
The curriculum is a living system
Static catalogs rot. Ours is designed to learn from licensed practitioner briefings, permissioned learner artifacts, and operating metrics that show where the map is wrong.
03 BROWSE BY TOPIC
The corpus, grouped by what it covers.
Each essay is grouped by the field reference section its defined terms fall under, so you can read by subject instead of only by date.
THE DISCIPLINE AND THE METHOD
COMPETENCY DOMAINS
OPERATING FRAME
GENERAL FIELD NOTES
- Show Me Your Portfolio
- Implement the Claude AI-native SDLC playbook around one accepted change.
- FDE pods need handoffs that the next person can test.
- Measure AI transformation at the point where work is accepted.
- Learn agentic coding by owning one complete delivery loop.
- AI-native product management training starts with a decision.
- AI training for project managers should rehearse the hard handoffs.
- How pod-based AI training turns individual practice into shared delivery.
- How to choose an FDE training program you can inspect.
- Design for operators, not completion.
- Completion records presence. Proof-of-work records evidence.
- Designing the expert desk: the telehealth model
- The frontier moves. The standard holds.
- Your work is the curriculum.
- The curriculum is a living system
LEARNING IN CONTEXT
Connect practice, delivery, and assessment.
These are related properties operated by LockedIn Labs. Each serves a different purpose; shared ownership does not make a training record an independent assessment result.
Assessment evidence
The LockedIn FDE Benchmark publishes a public draft evidence framework. Its assessment rules are separate from this platform’s learning and credentials.
Inspect the public FDE evidence framework → READ IT FIRST
Written from build evidence, not a content calendar.
The Signal is the working notebook of the team — what we build, what we test, and what the evidence changes. The community reads new essays as they land.