@0xCodila: Andrew Ng just dropped 8-page PDF on 4 agentic steps "from Loops to Graphs from scartch" The twist: agent has amnesia w…

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Andrew Ng released an 8-page PDF detailing four key agentic workflows: reflection, tool use, planning, and multi-agent collaboration, emphasizing that a weak model with proper architecture can outperform a strong one.

Andrew Ng just dropped 8-page PDF on 4 agentic steps "from Loops to Graphs from scartch" The twist: agent has amnesia without both: Loops let agents think - Graphs let agents remember here's 4 workflows, step by step: step 1 → reflection - agent writes, second prompt critiques, agent rewrites - one self-review loop beats a smarter model with none step 2 → tool use - give it search, code execution, APIs - thinking without tools is hallucinating step 3 → planning - break the task into JSON steps before running - Step fails? Agent replans around it step 4 → multi-agent - stop running one agent - run a team - one codes, one reviews, one tests how to wire this today: step 5 → add one critique call after every generation - 10-30% quality lift, one day of work step 6 → connect all 4 into a graph - agents share memory instead of transcripts - agent forgets, graph doesn't the result: a weak model with 4 steps destroys a strong model without them - same cost, it's the architecture this 8-page PDF is what comes after loop engineering save this - then read the full build workflow in the article below ↓
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Cached at: 07/25/26, 04:10 PM

Andrew Ng just dropped 8-page PDF on 4 agentic steps “from Loops to Graphs from scartch”

The twist: agent has amnesia without both: Loops let agents think - Graphs let agents remember

here’s 4 workflows, step by step:

step 1 → reflection - agent writes, second prompt critiques, agent rewrites - one self-review loop beats a smarter model with none

step 2 → tool use - give it search, code execution, APIs - thinking without tools is hallucinating

step 3 → planning - break the task into JSON steps before running - Step fails? Agent replans around it

step 4 → multi-agent - stop running one agent - run a team - one codes, one reviews, one tests

how to wire this today:

step 5 → add one critique call after every generation - 10-30% quality lift, one day of work

step 6 → connect all 4 into a graph - agents share memory instead of transcripts - agent forgets, graph doesn’t

the result: a weak model with 4 steps destroys a strong model without them - same cost, it’s the architecture

this 8-page PDF is what comes after loop engineering

save this - then read the full build workflow in the article below ↓

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