Allah
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Allah
Allah
Allah
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Allah
Allah
Allah
Allah
Allah
Allah
Allah
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Allah
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Allah
Allah
Allah
Allah
♥️ I LOVE ALLAH♥️
#خاتم_النبیین_محمدﷺ#درود_وقرآن
MY CHILD IS DYING, PLEASE😭
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︎don’t forget me🥺
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please care
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I beg you, I need treatment.
I kiss your hands
Help my sick child, he's dying
https://t.co/RyaPLGSbZv
MY CHILD IS DYING, PLEASE😭
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︎don’t forget me🥺
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please care
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︎
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I beg you, I need treatment.
I kiss your hands
Help my sick child, he's dying
https://t.co/RyaPLGSbZv
Having a dark (blackish) body, crooked/oblique gaze, and bearing four arms.
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Om Shani devay Namah🚩
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Nyaay ki Devta Shani Dev🙌
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Teri Mahima aprampar Shri Shani Dev
@grok
Google just dropped a free 2-hour course
On building complete agent graphs from scratch:
17:44 - Build your first AI agent
39:30 - Run agents inside feedback loops
1:12:38 - Turn agent loops into graphs
1:34:26 - Build self-throttling agents
1:55:05 - Orchestrate the complete multi-agent system
Most people build one agent and stop there
Google is already teaching the full stack:
Prompt → Agents → Loops → Graphs → Multi-Agent Systems
Single agents are the old workflow
Self-regulating agent graphs are the new one
This free 2-hour course is worth more than most paid agent engineering programs
Bookmark and watch it today
Then read the full architecture below ↓
your agent was never just a loop
it is three contracts built around one model
loop vs graph vs harness engineering
the loop is a contract with time
the graph is a contract with state
the harness is a contract with reality
loop engineering
defines the temporal contract
how many attempts are available
how much budget one run can consume
what qualifies as real progress
which condition ends the execution
when the agent continues trying after the evidence has stopped changing the temporal contract is broken
make every attempt durable limited and measurable
→ https://t.co/QST61rS1LN
graph engineering
defines the state contract
which transitions are permitted
which branches can execute in parallel
where the system can safely resume
what must be present before the next node begins
when the agent reaches a valid node through an invalid state the state contract is broken
make every transition visible and explicit
→ https://t.co/KNyTGswAV3
inspect the topology separately from the model
→ https://t.co/gFBE1b4nGX
harness engineering
defines the execution contract
which tools are available
which secrets can be accessed
where generated code is executed
which actions need approval
when the correct transition produces the wrong external effect the execution contract is broken
isolate and contain every tool call
→ https://t.co/yiiioauDVv
validate quality before deployment
→ https://t.co/gns5Mq4dEL
trace the contract through every system boundary
→ https://t.co/CM9UwOPyRE
bound the time
validate the state
contain the effect
the model creates a proposal
the system enforces the contracts
bookmark this before your next agent rewrite
then read the article below
You can build a private 24/7 research team that finds what you’re completely blind to - in under 10 minutes.
Not a metaphor.
Claude + NotebookLM.
- one agent trained on your role models.
- one trained on you.
- one trained on your competitors and market.
Every week the system surfaces the exact gaps almost no one else sees.
I took this setup and specialized it for one goal only: building a viral YouTube channel from zero.
I fed the top channels in my niche into the system.
NotebookLM extracted the hidden patterns.
Claude turned them into scripts and structures.
212 views on video #1.
150,000+ on video #10.
This is Part 1 of the complete playbook.
Full step-by-step breakdown (every prompt, every tactic, every mistake) 👇
SOMEONE SHOWED ME THIS GRAPH AND I COULDN'T STOP STARING AT IT.
every red dot is a note. every line is a connection.
hundreds of them. built over months. all linked to each other.
this isn't a folder. this isn't a notes app. this is what knowledge looks like when it's connected.
and here's why the graph matters before claude even enters the picture. when your notes are connected - you stop losing things. you search for one idea and find four related ones you wrote six months ago.
you stop rebuilding context from scratch because the context is already there, visible, linked.
then you connect claude to it.
no new tab. no explaining yourself.
no rebuilding context you already built last week.
just a question. and an answer grounded in months of connected notes. the graph doesn't just help claude. it changes what you notice.
because when everything is connected, one note leads you to ideas you weren't looking for.
that's what this actually is.
not a productivity hack. not a better prompt.
a map of how you actually think.
full guide below.
bookmark this.