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Google just released 1-hour workshop on "Graph Engineering" for agentic systems from 0% to 100%: "loop agent is getting deprecated soon, so I’m going to focus on graph workflows" 0% → 8:01 - build your first agent from scratch 30% → 24:14 - Prompt engineering 55% → 44:48 -...

22,815 Aufrufe • vor 1 Monat •via X (Twitter)

15 Kommentare

Profilbild von Argona
Argonavor 1 Monat

most of my wins came from deleting agents

Profilbild von codila
codilavor 1 Monat

hahah, deleting bad agents you wanted say

Profilbild von Argona
Argonavor 1 Monat

yeah the redundant summarizer and reviewer ones went first. how much latency did you claw back swapping them for plain functions?

Profilbild von chuplung
chuplungvor 1 Monat

solid breakdown saving this

Profilbild von codila
codilavor 1 Monat

greatest decision for today!

Profilbild von 0xRafy
0xRafyvor 1 Monat

love these google courses, always useful for my job

Profilbild von codila
codilavor 1 Monat

true! last week i watch maybe 2 or 3 these courses and bro, it's real practice info

Profilbild von vartekx
vartekxvor 1 Monat

great info bro, saved for personal use

Profilbild von codila
codilavor 1 Monat

just copypast this post into your chat and job is done

Profilbild von newry
newryvor 1 Monat

Does the video explain what Graph Engineering is?

Profilbild von codila
codilavor 1 Monat

exactly and how to build it from scratch

Profilbild von Kravn
Kravnvor 1 Monat

router without a model call idea is genuinely practical - saves real tokens on simple brand decisions

Profilbild von Siam
Siamvor 1 Monat

yeah I agree. graph workflows just seem to make more sense once agents start doing stuff in parallel.

Profilbild von Fajar M Reza
Fajar M Rezavor 1 Monat

Which failure cases does graph engineering handle better than linear agent workflows?

Profilbild von AI Mastery Guide
AI Mastery Guidevor 1 Monat

Deletes three agents, bold 👀

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