keyeng

Named a principle no one had: Actor Parity. Building @inistatehq — where your team and AI work as one. Patented framework for human-AI workflows. #AITeamMates

[keyeng @keyengtee]

The Harness Is the Product.
Models get better every 6 months.
Harnesses compound for 6+ years.
Bet on what compounds.

This isn’t theory — it’s live in production right now.
Here’s the cleanest real-world proof I’ve seen. 🧵

[keyeng @keyengtee]

Maybe agent hallucination is not just a model problem.

Maybe it is a runtime architecture problem.

I tested workflow agents across prompts, state machines, typed schemas, ReAct feedback, and retrieval.

Prompting reduced failures.

State machines eliminated illegal actions.

That distinction matters:
Prompting changes probabilities.
Architecture changes possibilities.

[keyeng @keyengtee]

Just shipped Inistate MCP — Model Context Protocol.

It’s a secure bridge that lets AI agents (like Claude) work directly inside Inistate using the same workflows, forms, and rules as humans.

MCP gives AI:
• Module discovery
• Entry CRUD + validation
• Activity logging with full audits
• State transitions & confidence gating

What’s special: AI becomes a true accountable teammate — not a hallucinating chatbot. Same primitives, full governance, real execution.

Claude even generated large parts of the MCP server from a detailed spec.

The coding bottleneck is dying. Clear system design is the new superpower.

npx -y inistate-mcp

AI teammates that actually ship work → #Inistate #MCP #AITeamMates

[keyeng @keyengtee]

@musaghhkv6 Specs act like a pillar for building and can never be done through vibe code if you need to work on serious things with real consequences.

[keyeng @keyengtee]

Claude generated large parts of our MCP server from the specification.

Not because AI magically became a senior engineer.

Because the spec was extremely detailed:
- workflow primitives
- state transitions
- validation rules
- audit structures
- execution invariants
- confidence gating

The repo made me realize something:

The bottleneck in software engineering is shifting from writing code
→ to designing systems clearly enough for AI to implement.

Inistate MCP Server
https://t.co/YhCsPtC1T2

[keyeng @keyengtee]

@FlippedRay Working on an AI tool that builds and stays business process harness.

[keyeng @keyengtee]

@Jia_builder Let’s connect. I am building an AI tool that builds, starts, and runs workflows. Specifically, a business process harness.

[keyeng @keyengtee]

Why build humanoid robots when wheeled ones are cheaper?

Not because the form is perfect — because the world was built for it.

Same for AI governance.

Actor Parity is the humanoid strategy: AI uses your existing forms, state transitions, and audit trails.
One trail. Zero rebuild.

The question every exec should ask their vendor:
“Does your AI operate inside our governance — or do we rebuild around it?”

#ActorParity #AIGovernance

[keyeng @keyengtee]

AI shouldn’t replace humans.

It should empower humans.

That’s what Actor Parity is about: AI and humans operating together inside the same workflow.

Same tasks.
Same audit trail.
Same operational system.

AI handles repetitive work.
Humans handle judgment.

Not AI vs Human.

AI + Human.

That’s the future.

#AI #FutureOfWork #EnterpriseAI #HumanAI #Automation #ActorParity

[keyeng @keyengtee]

AI isn’t replacing jobs first.

It’s replacing the annoying operational work inside jobs.

Not strategy.
Not relationships.
Not judgment.

The repetitive stuff:
- updating systems
- filing claims
- tracking requests
- routing approvals
- reconciling records
- logging data

The big shift is:
AI is moving from “assistant”
→ to “operator.”

The companies that win won’t have the smartest chatbot.

They’ll have the best operational harness for AI to work inside:
• workflows
• audit trails
• approvals
• escalation
• state machines

That’s where this is going.

Not AI that chats.

AI that runs operations.

[keyeng @keyengtee]

SMBs aren’t afraid of AI.

They’re afraid of:
- breaking operations
- losing control
- hidden costs
- learning curves
- trusting black boxes
- rebuilding workflows every 6 months when the next model drops

Most “AI tools” add another dashboard, another prompt box, another system to manage.

That’s not transformation. That’s overhead.

The real opportunity isn’t “smarter AI.” It’s AI that works the way your team already works.

No Prompt Tax. No workflow fragmentation. No replacing your operations just to use AI.

Finally, an AI teammate that works the way your team works.

#SMB #AI #AITeamMates #NoPromptAI

[keyeng @keyengtee]

@TriCast_ Technically a schema-based state machine, a business process harness.

[keyeng @keyengtee]

Inistate is the probabilistic-to-deterministic adapter.

AI is probabilistic.

Enterprise software is deterministic.

That gap is where most “AI transformation” projects break.

The model can reason, infer, and decide — but the business still needs valid states, typed inputs, controlled transitions, escalation, and audit.

That’s what Inistate does.

It turns probabilistic AI reasoning into deterministic business execution.

Every action becomes:

State → Activity(Form) → State

Same form a human fills.
Same transition the system validates.
Same audit trail compliance can inspect.
The AI can be probabilistic in how it thinks.
But when it acts, it acts through the harness.

That’s the missing adapter layer for enterprise AI.

[keyeng @keyengtee]

@sherifgjini Building a business process harness. If switching AI models breaks your business, the model was your architecture.

The harness should be the architecture.

[keyeng @keyengtee]

@DevenPatil_007 I'm building a business process harness for AI agents.

Your business should survive a model switch.
That's what the harness is for.

[keyeng @keyengtee]

@SurajJ326311 Let’s do it

[keyeng @keyengtee]

@salisedev Let’s connect

[keyeng @keyengtee]

Confidence builds when you realize that what you designed and automated for your business does not rely on any particular AI model or provider. You feel comfortable switching providers when necessary. This is called being model-agnostic. What you need is the business process harness, not the smartest AI model.

[keyeng @keyengtee]

🤖 Most people don’t fail at AI because they’re “bad at prompting.”

They fail because of the Prompt Tax.

💸 Every AI tool quietly asks you to:
• learn prompting
• learn workflows
• learn agents
• learn automations
• rewrite everything when models change

That’s not intelligence.
That’s homework.

The real breakthrough isn’t “better prompts.”
It’s removing the need for prompts in the first place.

📸 Snap a photo.
🗣️ Say what you want.
⚙️ The system builds and runs it.

AI should reduce operational complexity — not create a second job just to use it.

The companies that win won’t be the ones with the fanciest models.

They’ll be the ones that eliminate the Prompt Tax.

#AI #ArtificialIntelligence #Automation #FutureOfWork #NoPromptAI #PromptTax #AItools #BusinessAutomation #RunByText

[keyeng @keyengtee]

Humanoids meet #ActorParity