diff --git a/artifacts/MAX-670/package.json b/artifacts/MAX-670/package.json new file mode 100644 index 0000000..be2bede --- /dev/null +++ b/artifacts/MAX-670/package.json @@ -0,0 +1,18 @@ +{ + "ticket": "MAX-670", + "parent": "MAX-565", + "channel": "linkedin", + "source_artifact": "artifacts/MAX-565/build.md", + "post": "artifacts/MAX-670/post.md", + "proofs": [ + "artifacts/MAX-670/proof/linkedin-preview.png", + "artifacts/MAX-670/proof/preview.html", + "artifacts/MAX-670/proof.svg" + ], + "constraints": { + "max_body_chars": 3000, + "max_hashtags": 3, + "no_external_link_in_body": true, + "cta": "Comment \"orchestrator\" and I’ll send the free lesson/waitlist path." + } +} diff --git a/artifacts/MAX-670/post.md b/artifacts/MAX-670/post.md new file mode 100644 index 0000000..936295b --- /dev/null +++ b/artifacts/MAX-670/post.md @@ -0,0 +1,34 @@ +--- +cta: "Comment \"orchestrator\" and I’ll send the free lesson/waitlist path." +tags: ["#AIAgents", "#ClaudeCode", "#WorkflowAutomation"] +--- + +Most AI agent setups break the moment one task becomes three. + +Not because the model is bad. + +Because the workflow has no coordination layer. + +A single agent can look magical in a demo. It takes the prompt, edits the file, summarizes the result, and everyone feels the future for 30 seconds. + +Then you try to run real work: + +handoffs, parallel execution, context recovery, retries, proof, review states, memory, and “did this actually ship?” + +That is where the vibe breaks. + +The operators who get leverage from agents are not just writing better prompts. They are designing the system around the agent: clear ticket contracts, executor boundaries, verification loops, artifact proof, and guardrails for when confidence is not evidence. + +That is the problem the /orchestrator course is built around. + +In one week, it shows Claude Code users how to move from fragile single-agent experiments to reliable multi-agent workflows: coordinator-executor patterns, memory discipline, production checks, and proof-backed status updates. + +The goal is not “more AI.” + +The goal is an agent team you can trust with real work because every handoff has a contract and every claimed result has evidence. + +If you already feel the ceiling on single-agent workflows, this is the next step. + +→ Comment "orchestrator" and I’ll send the free lesson/waitlist path. + +#AIAgents #ClaudeCode #WorkflowAutomation diff --git a/artifacts/MAX-670/proof.svg b/artifacts/MAX-670/proof.svg new file mode 100644 index 0000000..be23bdc --- /dev/null +++ b/artifacts/MAX-670/proof.svg @@ -0,0 +1,16 @@ + + MAX-670 LinkedIn placement proof + Preview card summarizing the LinkedIn placement for the /orchestrator course. + + + + MT + Max Techera + Founder · AI workflow systems · MAX-670 LinkedIn placement + Most AI agent setups break + the moment one task becomes three. + The /orchestrator course teaches Claude Code users + reliable multi-agent workflows, proof-backed handoffs, + and coordination patterns that survive real work. + Comment “orchestrator” for the free lesson / waitlist path. + diff --git a/artifacts/MAX-670/proof/linkedin-preview.png b/artifacts/MAX-670/proof/linkedin-preview.png new file mode 100644 index 0000000..6e8b236 Binary files /dev/null and b/artifacts/MAX-670/proof/linkedin-preview.png differ diff --git a/artifacts/MAX-670/proof/preview.html b/artifacts/MAX-670/proof/preview.html new file mode 100644 index 0000000..52b85d0 --- /dev/null +++ b/artifacts/MAX-670/proof/preview.html @@ -0,0 +1,7 @@ +MAX-670 LinkedIn preview
MT
Max Techera Preview
Founder · AI workflow systems · MAX-670 LinkedIn placement

Most AI agent setups break the moment one task becomes three.

Not because the model is bad.

Because the workflow has no coordination layer.

A single agent can look magical in a demo. It takes the prompt, edits the file, summarizes the result, and everyone feels the future for 30 seconds.

Then you try to run real work:

handoffs, parallel execution, context recovery, retries, proof, review states, memory, and “did this actually ship?”

That is where the vibe breaks.

The operators who get leverage from agents are not just writing better prompts. They are designing the system around the agent: clear ticket contracts, executor boundaries, verification loops, artifact proof, and guardrails for when confidence is not evidence.

That is the problem the /orchestrator course is built around.

In one week, it shows Claude Code users how to move from fragile single-agent experiments to reliable multi-agent workflows: coordinator-executor patterns, memory discipline, production checks, and proof-backed status updates.

The goal is not “more AI.”

The goal is an agent team you can trust with real work because every handoff has a contract and every claimed result has evidence.

If you already feel the ceiling on single-agent workflows, this is the next step.

→ Comment "orchestrator" and I’ll send the free lesson/waitlist path.

#AIAgents #ClaudeCode #WorkflowAutomation

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\ No newline at end of file diff --git a/artifacts/MAX-670/validate.py b/artifacts/MAX-670/validate.py new file mode 100755 index 0000000..12cefa4 --- /dev/null +++ b/artifacts/MAX-670/validate.py @@ -0,0 +1,18 @@ +#!/usr/bin/env python3 +from pathlib import Path +import re, sys +post = Path(__file__).with_name('post.md').read_text(encoding='utf-8') +body = post.split('---', 2)[-1].strip() if post.startswith('---') else post.strip() +hashtags = re.findall(r'(?