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Jack Rudenko

@jackrudenko

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👨‍💻 CTO @madappgang AI agents are evolving SaaS. Claude Code enthusiast sharing dev tips&trends. MedTech, IoT, high-load | AWS 🤷🏻‍♂️ | go | dingo

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The $0 Fix That Beat 30 AI Agents
14 lines > 30 agents.

We spent 10 hours optimizing delegation.

We:
• rewrote descriptions
• added examples
• improved triggers
• built a routing skill

Zero improvement...

Then we added a static routing table
directly into the system prompt.

Routing accuracy: 100%.

Cost: $0.
Impact: deterministic AI behavior.

All that complexity. All that engineering.
Beaten by a markdown table.

Insight:

Most scaling problems are decision problems.

• Engineers decide whether to follow process.
• AI decides whether to delegate.
• Systems decide whether to enforce constraints.

If correctness depends on someone making the right choice under pressure, you don’t have architecture.
You have HOPE.

→ Stop adding abstraction layers.
→ Stop adding agents.
→ Stop adding governance documents.

Remove the decision point.

If your SaaS is growing
and your infrastructure feels “one mistake away” ⬋

Book a FREE Growth Architecture Session | Link in BIO

We’ll identify:
• which decisions must become defaults
• where optional behavior creates fragility
• how to scale without multiplying risk

Only 2 spots available

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100% routing accuracy for AI agents in 1 hour.
After 95 automated tests and 30+ ignored agents.

Not by making the model smarter.
By making the decision unnecessary.

You’ve bought the tools.

AI agents. Code review bots.
Architecture checklists. New processes.

Nothing changed.

And you start thinking:
“Maybe the team isn’t disciplined enough.”
“Maybe we need better documentation.”
“Maybe we need another tool.”

No.

If a system can do it the easy way, it will.

Claude had 30+ specialized agents:
• multi-source research
• iterative write-test-fix cycles
• AST-based code investigation
• structured debugging

It ignored every single one.

Because it could just:
→ search inline
→ write code inline
→ move fast

Your team does the same thing.

If shipping without the “right” tool is easier, they’ll skip it because your system choose shortcuts.

We measured:

✓95 automated tests.
✓6 configurations.
✓3 rounds of “improving descriptions” and even adding IMPORTANT directives.

→ Baseline routing accuracy: 79%.
→ After improving docs and examples: 79%.
→ After yelling in YAML: 79%.

Zero improvement.

Then we added 14 lines to the system prompt.

A simple routing table. Always loaded. No decision required.

Routing accuracy: 100%.
14 lines > 30 agents.

Instead of educating the model, we changed the system.

1. Removed the decision point.
2. Embedded routing rules directly into the system context.
3. Made delegation the default, not a suggestion.
4. Validated with automated tests, not vibes.

Now zoom out.

Where in your startup are you relying on:
• “engineers should remember”
• “people should follow the doc”
• “AI should choose the right path”

If it’s optional, it’s fragile.
If it requires someone to think twice under pressure, it will break at scale.

Your scaling problem - decision architecture.

If your product feels “stable but tense,”
if adoption of tools is inconsistent,
if scale feels like gambling.

Book a FREE Growth Architecture Session | Link in the BIO

We’ll map:
• where decisions are killing reliability
• what should become default
• how to scale without breaking prod

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They keep telling you AI agents are the future.
What they don’t tell you?
Most of them today couldn’t even run your coffee machine without breaking something ☕🤖

The truth is — #AI agents aren’t failing because they’re “too new.”
They’re failing because they lack the one layer that makes human decision-making work: context.

Without it, they don’t scale.
They don’t adapt.
And they definitely don’t “replace humans” (sorry, @linkedin doom-posters).

Our CTO, @erudenko , has spent years building systems that bridge this gap — and he just dropped a no-BS breakdown of what’s wrong with AI agents (and how to fix them) in his latest article.

📌 If you’re a CTO, product lead, or anyone building AI beyond toy demos — you need to read this.
☑️ Subscribe
👉 Link in bio / Read on our blog

#ContextEngineering #AIEngineering #MadAppGang

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Yes — We did ask @chatgpt to make @jackrudenko into an action figure in a blister pack.

🤜 🤛 Jack isn’t just a CTO.
He’s the tech lead you call when you want your infrastructure to scale like it’s on rocket fuel—and stay secure like Fort Knox.

In every project:
– He architects the unbreakable.
– He leads teams that actually want to follow.
– He makes you believe in «10x growth» and then casually delivers 100x.

👀 The difference?

While others sell slides, Jack ships results.
MadAppGang doesn’t “ideate.” We don’t drown you in decks.
We take your product and drag it, kicking and screaming if necessary, all the way to launch.

⚡ No fluff. No excuses. Just shipping sh*t that scales.

Looking to scale like mad?  📈
🫳🏻 Go to our website | Link in BIO

#madappgang #businessbuilding #scaleyourbusiness Yes — We did ask ChatGPT to make Jack Rudenko into an action figure in a blister pack.

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Are you ready to talk about your #app idea? 📲

GET IN TOUCH: https://madappgang.com/

#appdevelopment #softwaredevelopment #appdeveloper #appidea #softwarecompany

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