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Applied AI, forward-deployed engineering, RAG, and career guides — plus resume, ATS, and interview advice from real Reddit discussions.

Applied AI · Forward Deployed

The Applied AI Transition — 4-week cohort + free seminar

FAANG builds the models. The rest of us deploy them. Master Framework, Forward Deployed Studio, EvalForge, portfolio capstone, and job-search sprint — for banks, health, insurance, and every industry hiring Applied AI roles.

Join cohort waitlistFree seminar first

2026-07-04 · 9 min read

The ADLC Guide for Product Managers: Owning AI Projects Phase by Phase

A product manager's field guide to the AI Development Lifecycle — which of the 6 phases you own, the artifacts you're expected to produce, and where PM instincts from traditional software will steer you wrong.

ADLCAI product managementproduct managerAI project phasesSpec Owner

2026-07-04 · 8 min read

AI Alignment for Non-Engineers: What It Means on a Real Project

Alignment isn't just a research topic — it's the daily work of making an AI system do what the business intended. Here's what alignment means in practice for PMs, BAs, QA, and delivery leads.

AI alignmentAI governanceguardrailsnon-technical AIAI safety

2026-07-04 · 10 min read

The QA Engineer's Guide to LLM Testing: From Test Cases to Golden Sets

Deterministic test suites break on LLM features. Here's the QA methodology that replaces them — golden sets, LLM-as-judge rubrics, adversarial coverage, and score distributions — with no ML background required.

QALLM testingAI testinggolden setevaltest automation

2026-07-04 · 9 min read

Eval Frameworks for Non-ML Teams: How to Prove Your AI Works

'It feels good in the demo' is not evidence. A practical evaluation framework — metrics, golden sets, judges, thresholds, and the go/no-go gate — that product teams can run without a data scientist.

eval frameworkAI evaluationLLM evalsgo/no-goAI metricsEvalForge

2026-06-28 · 8 min read

The AI Development Lifecycle (ADLC) Explained for Non-Engineers

A plain-language guide to the 6 phases of the ADLC — Discovery, Framing, Architecture, Build, Eval, Production — and what PMs, BAs, QA, and delivery leads own in each one.

ADLCAI development lifecycleAI project phasesAI alignmentnon-technical AI

2026-06-28 · 6 min read

The Delivery Lead Role in AI Projects: What 'Done' Actually Means

AI projects don't fail in development — they fail at handoff. Delivery leads who know what to check before go-live become indispensable. Here's the checklist.

delivery leadproject manager AIAI project managementAI production readinessscrum master AI

2026-06-12 · 11 min read

The 72-Hour Forward Deployment Discovery Sprint

How FDEs decompose 'we want AI' into shippable work — shadow users, data archaeology, intent taxonomy, and the one-page delivery brief.

Forward Deployed EngineerDiscoveryApplied AI

2026-06-11 · 6 min read

How does AI evaluate my resume fit?

What fit scoring actually measures—semantic gaps, evidence mapping, and ATS alignment—and how Forward Deployed surfaces it before you rewrite.

ResumeFit checkATSAI