Ravi Teja Palanki
Profile
Episodes
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AI PM OS · 30 episodes + companions
01
Why AI PM ≠ SaaS PM
02
Why Most AI Products Fail
03
The Agentic PMF Standard
04
When AI Is the Right Answer
05
Taste at Speed
06
Pressure-Testing AI Initiatives
07
AI Economics 101
08
Cost in Every PRD
09
Why Per-Seat Pricing Dies
10
The Value Model
Level 2 — Strategy & pricing
11
The 4D Strategic Framework
12
Building Compounding Moats — 5 Sources
13
Product Architecture as a Strategy Decision
14
AI Pricing Models
15
Inference FinOps for PMs
16
Evals as the New PRD
17
Stakeholder Translation
18
Privacy & Enterprise Readiness as Competitive Moat
19
The Outcome-Based Pricing Playbook
20
Shipping with Proof + Adoption Mechanics
Level 3 — Orchestration & GTM
21
Reading the Harness as a PM
22
Compounding Feedback Loops
23
Multi-Model Orchestration
24
AI PM Team Structure for the Agentic Era
25
GTM-AI Fit + Agent Distribution
26
The Self-Improving Moat
27
The Golden Quadrant — Service-as-Software
28
Vendor Strategy + AI Portfolio Governance
29
Real ROI at Scale
30
The Board Narrative + Trust Boundary
Bonus companions
B01
The AI PM Career Path: Junior, Senior, Director
B02
The Bridger Archetype Operationalized
B03
The Dinner-Table / Boardroom Translator
B04
The Indian-Market AI PM Perspective
B05
Salesforce Agentforce: Certified-Practitioner Deep Dive
B06
The Agent-as-Buyer Commerce Model
B07
Agentforce vs Copilot: Strategic Comparison
B08
The Future of AI PM as Agent Share Climbs
B09
How the 5% Actually Operate
Field Manual
▾
Field Intelligence
Frontier Companies
Read the market, qualify the numbers, find the value.
Anthropic
OpenAI
Google / Alphabet
DeepSeek
xAI / SpaceXAI
Microsoft
Meta
Dispatches
01 · The Summer of Rogue Agents
Craft Curriculum
01
Agentic Stack
— Foundation
What the agent sees, and how context is assembled.
02
Harness Engineering
— Build
The runtime that makes agents reliable.
03
Environment Engineering
— Operate
The world around the agent — reach, authority, recovery.
04
AI Evals
— Prove
How a team defines and measures "good."
05
AI PM OS
— Monetise
Capability into economics, adoption, and authority.
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Field Manual
Takeaways
AI PM OS · Episodes
01
Why AI PM ≠ SaaS PM
02
Why Most AI Products Fail
03
The Agentic PMF Standard
04
When AI Is the Right Answer
05
Taste at Speed
06
Pressure-Testing AI Initiatives
07
AI Economics 101
08
Cost in Every PRD
09
Why Per-Seat Pricing Dies
10
The Value Model
Level 2 — Strategy & pricing
11
The 4D Strategic Framework
12
Building Compounding Moats — 5 Sources
13
Product Architecture as a Strategy Decision
14
AI Pricing Models
15
Inference FinOps for PMs
16
Evals as the New PRD
17
Stakeholder Translation
18
Privacy & Enterprise Readiness as Competitive Moat
19
The Outcome-Based Pricing Playbook
20
Shipping with Proof + Adoption Mechanics
Level 3 — Orchestration & GTM
21
Reading the Harness as a PM
22
Compounding Feedback Loops
23
Multi-Model Orchestration
24
AI PM Team Structure for the Agentic Era
25
GTM-AI Fit + Agent Distribution
26
The Self-Improving Moat
27
The Golden Quadrant — Service-as-Software
28
Vendor Strategy + AI Portfolio Governance
29
Real ROI at Scale
30
The Board Narrative + Trust Boundary
Bonus companions
B01
The AI PM Career Path: Junior, Senior, Director
B02
The Bridger Archetype Operationalized
B03
The Dinner-Table / Boardroom Translator
B04
The Indian-Market AI PM Perspective
B05
Salesforce Agentforce: Certified-Practitioner Deep Dive
B06
The Agent-as-Buyer Commerce Model
B07
Agentforce vs Copilot: Strategic Comparison
B08
The Future of AI PM as Agent Share Climbs
B09
How the 5% Actually Operate
Field Intelligence
Frontier Companies
Anthropic
OpenAI
Google / Alphabet
DeepSeek
xAI / SpaceXAI
Microsoft
Meta
01 · The Summer of Rogue Agents
Craft Curriculum
01
Agentic Stack
— Foundation
02
Harness Engineering
— Build
03
Environment Engineering
— Operate
04
AI Evals
— Prove
05
AI PM OS
— Monetise
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Evals as the New PRD — AI PM OS