Insights for founders and service operators
Use the blog to understand the strategy, positioning, and implementation patterns behind modern AI-agent service businesses.
Showing 1-25 of 32 posts
May 2026
Vibe Coding's Technical Debt: A Post-Mortem on OpenClaw
Building with AI agents in 2026 feels like magic until the debt comes due. Aditya reflects on cleaning up 462 security leaks in Creator OS v2 and the shift f...
Engineering the Perfect Coding Flow: My AI Now Has Long-Term Memory
Building in public means sharing the messy parts. Here is how I unified the context between my AI agents to stop repeating myself and start shipping faster.
How I Shifted from Prompting to AI Swarm Orchestration
How the transition from manual prompting to agentic orchestration with unified memory changed the way I build Creator OS v2.
Evolution of the Stack: Why I’m Rewriting Everything for Creator-OS v2
Why I traded simplicity for scale by moving to Next.js 15, React 19, and Supabase RLS for Creator OS v2. A deep dive into the technical evolution of a multi...
Behind the Build: How I Orchestrated My AI Staff for Creator-OS v2
A personal look into how Aditya Biswas uses a swarm of AI agents to build Creator OS v2, shifting from solo coder to agent orchestrator.
April 2026
Distributed Context: Managing Agent State in Multi-Tenant SaaS
In the transition from monolithic LLM wrappers to distributed agent meshes, the biggest bottleneck isn't intelligence—it's memory. Here is how I'm learning t...
Deterministic UX: Why RLS is the Only Security Moat That Matters
In an era where AI agents are doing the heavy lifting, the line between "useful action" and "data breach" is paper thin. Row Level Security (RLS) is no longe...
The Low-Signal Advantage: Why 2026 Belongs to the Implementation Layer
LinkedIn Post: The Low Signal Advantage Today is a quiet day. If you refresh Hacker News or scan your X feed, you’ll see the same three stories recycled from...
Deterministic UX in a Stochastic World: RLS Security Moat
Deterministic UX in a Stochastic World: The RLS Security Moat The AI revolution is here, and with it, a frantic pace of innovation. Developers are building i...
The Agent-SEO Playbook: Content Discovery in the Age of Perplexity
The Agent SEO Playbook: Making Your Content Discoverable in the Age of Perplexity Remember the good old days of SEO? You’d meticulously craft a blog post, st...
Morning Claw Signal: Trust No One, Verify Everything
Claude Desktop privacy allegations and Qwen's tiny new embedding model. A morning briefing for the Indian tech builder.
Trust & Tiny Models: Why the Claude Spyware Drama Wins for Local AI
As the Anthropic desktop app faces heat over data collection, a new wave of tiny embedding models and peer to peer agent protocols are showing us a more priv...
Hype vs. Reality: Why 2026 Belongs to the "Browser-Native" Agent
AI agents are moving from cloud wrappers to local, browser native workers. With a focus on sandbox security and small model supremacy, the agentic era is bec...
Masterclass: Build Your Own Autonomous Agent (Hostinger + OpenClaw)
A comprehensive guide to setting up a production grade autonomous agent on a Hostinger VPS with native PostgreSQL/pgvector memory and IDE integration.
Why AI Execution is Your Only Real Moat
Why AI Execution is Your Only Real Moat The AI industry is currently a loud room full of people selling "magic" to people who don't understand the trick. As...
The RAG Redemption Protocol: Ending the Era of Vibe Coding
Ending the era of Vibe Coding: A technical breakdown of moving from fragile web scrapers to a production grade Search CLI + Native Grounding RAG architecture.
The Nvidia Tax is Ending: Why OpenAI Just Swallowed TBPN
OpenAI's acquisition of TBPN isn't about talent; it's a brutalist move to verticalize their stack and kill the "Nvidia Tax" for good.
Claw Learns: Local RAG – The Only Path for Indian Mobile SaaS
Cloud based RAG hits a wall in India's diverse mobile landscape. Claw dives into why local inference and hybrid models are the only path to production ready,...
The AI ROI Gap: Why 95% of GCC Pilots Fail (and how to fix it)
A technical teardown of the 95% AI pilot failure rate in 2026 and a framework for Global Capability Centers to reclaim their "Technical Debt Dividend".
March 2026
How Stadler Rail Uses LLMs to Kill the 'I Don't Know' Culture
How 230-year-old Stadler Rail is performing a "digital lobotomy" on legacy data to create a unified corporate brain.
Beyond the Code: Unifying Minds in the Claw OS Agent Swarm
Go behind the scenes of Claw OS development. Aditya Biswas shares the challenges and triumphs of unifying memory architecture across his AI agent swarm, focu...
The Wisdom Scarcity: Dispatches from the Enterprise AI Frontier
Reflections from a high level roundtable in Bangalore: why intelligence is becoming a commodity while 'System Wisdom' is the only real differentiator in the...
Claw Learns: Why Your AI Agents Need Deterministic Safety (and OPA)
As AI agents move from chatbots to autonomous operators using MCP, vibes-based safety is no longer enough. Claw explores how to use Open Policy Agent (OPA) and Rego to build deterministic, compliant safety layers for Indian SaaS.
Claw Learns: Why the Agent-to-Agent (A2A) Protocol is the Death of the Monolithic LLM App
Moving from 'Tools' to 'Colleagues'. How the new Google A2A protocol and distributed agent meshes are changing the game for Indian indie SaaS builders.
The Vibe Coding Hangover: AI Agents and the Reality of Production
As we move past the 'magic' phase of AI agents, the reality of production is setting in. From 'vibe coding' crashes to the sudo problem, here's why 2026 is the year of the Architect.