METRIC_01 / YEARSDerived
12+
B2B Product
Experience
Experience
Ravi Teja Palanki — AI Product Leader
RAVI TEJA PALANKI
I work where AI capability becomes product responsibility.
Engineering asks whether it can work. Experience asks whether people will trust it. Economics asks whether it deserves to scale.
I turn the demo that wows the room into the product that survives the quarter — and the bill.
01EngineeringCan it work?
02ExperienceWill people trust it?
03EconomicsDoes it deserve to scale?
My Point of View // Field Intelligence
Everyone's keeping score on intelligence. The real game is value per dollar.
My read on the seven companies pacing the AI economy. The loudest numbers measure money pouring in, not value coming out — so I separate audited profit from run-rate, trace where capital really pools, and name the game each one is playing. The moat of 2026 isn't a smarter model; it's .
~100× price spread3 of 7 truly profitablerun-rate ≠ revenue7 company deep dives
Read My Point of View02 // The Architecture
THREE WORLDS.
One bridge.
When engineering says "we need a validation layer," design says "users need to feel in control," and business asks "what's the ROI at 10x scale" — I make each feel understood AND challenged, then synthesize a path that serves all three.
01 // Engineering
The Technical Layer
Shipped enterprise AI assistants with OpenAI APIs, multi-database RAG, and hallucination guardrails. Built eval frameworks for response accuracy in safety-critical industrial operations. Designed context engineering pipelines that survive production.
See the work02 // Design
The Experience Layer
Coordinated 30+ cross-functional stakeholders across Android, iOS, head-mounted tablet, and Web. Designed with a human-centred lens because plant operators don't trust a system when their life is at stake.
See the work03 // Business
The Strategy Layer
Potential $100M+ opportunity. Launched first Alpha 0-1 Manufacturing Execution Systems for battery gigafactories. Led consulting motions & pre-sales for product engineering services with 85% win ratio in the past.
See the workInvited
Advisory Board — TAPMI MBA in AI
Perplexity AI Fellow '25Lovable L4TAPMI MBA — MarketingNIT Jamshedpur B.Tech
03 // The Evidence
METRIC_02 / SHIPPEDField note
5+
GLOBAL enterprise products
Shipped in regulated industries
Shipped in regulated industries
METRIC_03 / NOTESDerived
136
Field-manual notes
METRIC_04 / CUSTOMERSReported
200+
ENTERPRISE CUSTOMERS USE
PRODUCTS I SHIP
PRODUCTS I SHIP
04 // The Conviction
"The goal isn't just to ship another feature.
It is to become a world-class,
top 0.1% AI product leader —
It is to become a world-class,
top 0.1% AI product leader —
merging human judgement with machine intelligence."
05 // The Work — Three Doors
What I Did
My Profile
12+ years shipping enterprise AI at Fortune 100 scale. From 0-to-1 Manufacturing Execution Systems for battery gigafactories to Gen AI assistants for plant operators.
The career narratives, the products, and the journey.
How I Think
Working Notes
136 deep dives across Agentic Systems, Harness Engineering, Environment Engineering, Evals, and the AI PM OS.
Written the night a pilot broke, a metric lied, or an assumption snapped — before the lesson got polished into a slide.
The Distillation
Key Takeaways
One idea at a time. Slow enough to sit with.
The 5% that compounds, without the 95% that doesn't.
Featured Deep Dive
The model sets the ceiling. The harness sets the floor.
Harness Engineering · The Series
Why Your Agent Fails
Every agent failure you've ever investigated had the same autopsy report. Root cause: the model. Actual cause: something else entirely.
The demo passes. Production fails on the same prompt. Teams spend a quarter chasing a better model. A week-two hire rewrites the retry, tightens the JSON, and cuts tools from thirty-one to nine. Errors drop by half in five days — on the same model they started with.
That's the harness. The scaffolding around the model that turns reasoning into reliable action. Three of the four failure signatures point at it. None of them are the model's fault.
Read the Series — Harness EngineeringSeason 01 is being rewritten — see the full map
The Field Manual