Featured
Building Production AI Agents with Claude: API, Tools, and Evals
Tool use, LangGraph, evaluation gates, and handover patterns we use for client agents on Claude, from pilot to production in focused cycles.
PAI Technologies / Blog
Insights on AI, RAG & hardware
Practical guides from our studio in Delhi: how we ship AI pilots to production, run RAG at scale, and take custom PCBs from KiCad to fab.
Editor's picks
Highlighted reads on Claude, automation, RAG, and production agents.
Highlighted
Claude Cowork for Engineering Teams: Specs, Research, and File Analysis
Anthropic’s Claude Cowork helps with specs, research, and document analysis outside the IDE. How PAI Technologies uses it alongside Cursor for faster, clearer delivery.
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Highlighted
AI Automation Workflows: n8n, Make, and When to Write Code
No-code orchestration gets you live fast: until you need branching logic, evals, or compliance. How we choose n8n, Make, Zapier, or FastAPI and LangGraph for client automations.
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Highlighted
MCP Servers and Claude Tool Use: From Demo to Production
Gyanender Jha on Model Context Protocol (MCP), Claude tool use, auth boundaries, and how PAI Technologies wires agents to Postgres, APIs, and internal systems safely.
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Highlighted
RAG Pipelines for Production: Lessons from 30+ Engagements
Chunking, retrieval quality, citation UX, and cost control, what actually matters when RAG leaves the notebook and serves paying users.
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Hardware
An AI Roadmap for Hardware Startups: Firmware, Cloud, and Compliance
Rekha Jha on sequencing AI for hardware products: when to add cloud intelligence, how TerraSenti and Gordon inform the playbook, and avoiding the “chatbot on a gadget” trap.
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Delivery
Your First Week with PAI Technologies: Access, Rhythm, and First Demo
Kajal Jha walks through week one of a typical engagement: kickoff, access checklist, async updates, Loom demos, and how we align EU and US clients across timezones from Delhi.
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Strategy
When to Hire an AI Studio vs Building In-House
Rekha Jha on the build-vs-buy decision for AI: speed to first production, hiring timelines, compliance, and when PAI Technologies acts as a sprint team versus long-term partner.
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AI & Software
How to Ship an AI Pilot to Production in Three to Four Weeks
A practical playbook we use at PAI Technologies to move from demo to production AI, scope, stack choices, compliance, and handover, without burning the timeline.
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AI & Software
AI Automation for Ops Without Breaking Compliance
Summarise tickets, route incidents, and draft replies with AI, while keeping GDPR, HIPAA guardrails, audit logs, and DPO-friendly evidence.
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AI & Software
How to Write a Brief Your AI Studio Can Actually Estimate
After 30+ engagements, the best inbound briefs share the same structure: problem, users, data, constraints, and success criteria. Here is the template we send to every prospect.
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AI & Software
What Top Rated on Upwork Actually Means for Your AI Project
Badges, hours, and reviews are easy to misread. Here is how we use Upwork as a delivery channel, and what you should look for before you hire any AI team.
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Hardware
Custom PCB Design: From KiCad Schematic to JLCPCB Assembly
How we take hardware from breadboard to manufacturing-ready Gerbers: schematic discipline, DRC, BOM optimisation, and fab handover for IoT and sensor products.
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Hardware
Why We Built PAI as a Software and Hardware Studio
Most teams split firmware, PCB, and cloud between vendors. We merged both practices in Delhi so sensor products and AI platforms ship with one roadmap and one handover.
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AI & Software
Onboarding EU Clients: GDPR and Data Residency from Day One
EU teams ask about hosting, subprocessors, and DPIAs before they ask about model choice. How we structure discovery and contracts so compliance is part of scope, not a surprise in week three.
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AI & Software
Fractional CTO Support: When It Makes Sense for a Series-A Team
You do not need a full-time CTO to choose between build vs buy, audit an AI stack, or prep for a board review. When fractional architecture support pays off, and when it does not.
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AI & Software
Client Communication Across Timezones: How We Run Async-First Delivery
Delhi to San Francisco is not a real-time overlap, and that is fine. The rituals we use so US, EU, and India clients always know status without midnight calls.
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