Pert Near Enough

Before CRISPR, building a research mouse with a specific genetic modification could take two years and cost twenty-five thousand dollars — before a single experiment ran. Brynn and Marcus dig into how CRISPR, a gene-editing tool borrowed from the bacterial immune system, tore that bottleneck open: faster models, lower costs, any mouse strain, multiple genes at once — and what that meant for resear...

The arc finale: the team whose whole job is keeping the estate alive — and knowing whatit's even made of. If Parts 1 and 2 were the body, this is the nervous system and themedical chart. We get the ITIL vocabulary right (practices, not processes; incidentrestores, problem explains, change *enables* the fix), demystify the CMDB as the wiringdiagram of the entire company, and explain why no sane tea...

Part 1 was the building and the wiring; Part 2 is what happens inside it. Three jobs thatneed each other: applications do the work, integration is the hallways between them, andidentity is the badge reader on every door. We sort out the three tiers of an app (a face,a brain, a memory), the difference between a live call and a message on a queue, why theold "enterprise service bus" got fired for be...

Every app you touch — email, payroll, the website — is just software that has to run *somewhere* : on a real machine, in a real building, reachable over a real wire. That"somewhere" is the plumbing, and this episode hands you enough of it to talk to thepeople who keep it running. We sort out virtualization (one machine pretending to bemany), the cloud (just renting someone else's data center), the...

Two engineers are planning a "system integration" and you want to actually follow it — not nodalong. This episode hands you the conceptual map of ETL: extract, transform, load — how data getspulled out of a pile of separate systems (the CRM, billing, support), cleaned up so it all linesup, and loaded into one place you can finally use it, a data warehouse. We cover the flip everyoneargues about (E...

The top of the ladder: the point where you stop *using* a Copilot and start *building* one. Part 4 — the arc closer — walks the building vocabulary so you can hold your own with the powerusers who live here. An **agent** is a scoped specialist wired to one job; an **agent flow** isdeterministic, the same steps every time; an **autonomous agent** fires on a trigger with no onewatching; **connectors...

If you think Copilot is "just a chatbot," this is the episode that changes your mind. Part 3is a tour of the complex moves — the ones that make advanced users sit up — and they all sharea shape: you *ground* it in your own files and data, then let it work in real, multi-step ways. We walk six of them: drafting from a referenced set of your documents, fencing a project into aCopilot Notebook, the r...

Everyone says Copilot "boosts productivity" — but what does it actually *do* all day? Part 2walks a real Tuesday: six everyday moves — draft, summarize, ask, command, coach, and find —spread across Word, Outlook, Teams, Excel, and PowerPoint, plus the one honest question mostpitches dodge: *is it worth it?* We give you the straight answer — a big independent UKgovernment trial found about 26 minut...

Someone says "just use Copilot" — but which one? It turns out "Copilot" isn't a product,it's a whole family: the free web Copilot, Copilot Pro for individuals, Microsoft 365Copilot for work (grounded in your own data via Microsoft Graph, with Copilot Chat as thelighter on-ramp), the GitHub one for code, and Copilot Studio for building your own agents. Part 1 of our Copilot arc hands you the one li...

Your colleagues keep saying "data lake," "Snowflake," "partition key" — and youjust need to follow the conversation and help shape the project without gettinglost. This episode gets you *pert near enough* : what a data lake actually is (andhow it's different from a data warehouse), where Snowflake fits, how data gets in(batch vs. streaming), and what people really mean when they talk about "settin...