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No hype, no theory. Real patterns, honest trade-offs, and hard-won lessons from the people actually building AI products in production.
Latest13 May 2026Raghavendra PrasadRoadmap says agents. Build room says source of truth.
Why most 2026 AI launches slipped on translation, not technology.
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12 May 2026Raghavendra PrasadThe missing layer in every agentic AI stack
Salesforce told you who they are and where Claude fits in. They didn’t tell you who the signal layer is.
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12 May 2026Raghavendra PrasadThe 30% you don’t automate is the product
When you think of Voice Agents in Customer Conversations - Containment is the easy number. The handoff is the one that survives the QBR.
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12 May 2026Raghavendra PrasadWorkflows or autonomy: which “agent” did you actually ship?
Most production “agents” are workflows with one LLM in the loop. That’s frequently the right architecture. The bug is the label.
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12 May 2026Raghavendra PrasadWatch the mechanism, not the average
The CFO’s AI-ROI debate is the same shape as the macro one. The useful move is to ask which lever each side is actually measuring.
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8 May 2026Raghavendra PrasadThe Other Half of AI Adoption
OpenAI and Anthropic showed up at the boardroom on the same day. Something else needs to show up at the desk.
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29 Apr 2026Raghavendra PrasadCouch to Claude
A 14-day plan. Two weeks. Ten minutes a day. Real work, not exercises.
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27 Apr 2026Raghavendra PrasadVoice AI Doesn’t Have a Per-Minute Cost
Open any voice AI comparison post and you’ll see the same table.
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27 Apr 2026Raghavendra PrasadCapture or Assume?
The question every AI tooling decision actually turns on — and the rule that replaces build vs. buy.
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22 Apr 2026Raghavendra PrasadSales Organizations : Hierarchy to Intelligence
A thought provoked from reading a recent Sequoia essay on organisational intelligence. The question it ends on lands hardest in the workflow I think about every day - Sales and Rev…
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19 Apr 2026Raghavendra Prasad6 Questions I Ask Every Company About AI
From real transformation engagements — what I've learned to ask first, and why the answers reveal more than any audit.
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17 Apr 2026Raghavendra PrasadThe Menu Is Gone
When anything can be built on demand, the moat moves from what you’ve made to what compounds through the making.
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13 Apr 2026Raghavendra PrasadThe Knowledge SaaS Left Behind
Systems of record captured what was decided. The third and fourth knowledge layers capture how — and why.
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13 Apr 2026Raghavendra PrasadThe AI Agent Pricing Map: Seven Models, One Market, No Convergence yet...
Seven incompatible pricing models, one market, no convergence yet.
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10 Apr 2026Raghavendra PrasadClaude Managed Agents: Is this for everybody building Agents?
Anthropic launched Claude Managed Agents this week.
Read on Substack↗- tch.9 Apr 2026Raghavendra Prasad
The Coding Sessions you should be learning from
Every coding agent session contains useful signal about how you work. Most of it disappears when the session ends. Here’s a structured way to capture it.
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7 Apr 2026Raghavendra PrasadThe AI Layer in M&A: What Operational Due Diligence Must Assess Now
For decades, operational due diligence has evolved to absorb the dominant transformation wave of its era. AI is the next one — and for non-tech companies, the framework for assessi…
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7 Apr 2026Raghavendra PrasadDesigning a Skill That Interviews
When an AI agent’s job is to engage with a human and extract structured intelligence, the design problem is fundamentally different. Here’s what is required — and why each consider…
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7 Apr 2026Raghavendra PrasadTokens Are Not Outcomes
Token spend is becoming the "usable" measure of AI productivity inside engineering orgs. It’s a useful signal. Here’s what it takes to turn it into something you can actually act o…
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6 Apr 2026Raghavendra PrasadDevelop Agent Skills Like Software
Your rep just left a customer meeting. A voice agent intercepts them. Four minutes later, the deal intelligence is captured — or it isn't. That depends entirely on the skill drivin…
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