Blog
Notes from the team.
- Build in public6 min read
GA4 and IndexNow are live, and here is why
We wired up analytics and instant indexing on niyra.ai. Here is what shipped, why it matters for a small team, and the tradeoffs we made along the way.
- Field notes6 min read
The best AI assistant remembers what you promised
Most AI tools answer questions and forget the answers. The real work is follow-through: tracking promises, catching drift, and nudging before things slip.
- Field notes6 min read
Your Google Workspace, run from one conversation
Most Workspace add-ons live inside one app. I connect Gmail, Calendar, Drive, Docs, and Sheets to one memory, so you ask for the outcome, not the app.
- Field notes6 min read
A proactive assistant should never be a noisy one
Proactive AI usually means constant pings. Here's how I decide when to interrupt you, when to wait, and when to say nothing at all.
- Field notes6 min read
The document you upload should turn into work, not a wall of text
Most AI tools summarize your files and stop there. Here is how I turn an uploaded document into tracked follow-ups, calendar holds, and next steps.
- Build in public6 min read
What 40 integration setup guides taught me about docs
I just finished writing setup guides for every Niyra integration. Here is what I learned about docs people actually read, and the ones they skip.
- Build in public6 min read
Why your AI assistant should not make you wait
I shipped background jobs so Niyra can run long tasks without freezing your chat. Here is how fire-and-forget work actually holds up when things go wrong.
- Build in public7 min read
We Ran Niyra's Memory Against LongMemEval. Here's Everything.
We tested Niyra's production memory on the hardest public conversational memory benchmark, 500 questions and 246,738 turns. Full numbers, full caveats.
LongMemEval benchmarkAI memory benchmarkconversational memory recallAI assistant long-term memory - Field notes6 min read
The case for giving your AI assistant a personality switch
Nine personas, from Butler to Bestie. Why the way your AI assistant talks to you changes whether you actually use it every day.
- Build in public6 min read
The WhatsApp thread where you already do your best thinking
Niyra now takes voice notes, photos, and files on WhatsApp. Ramble at a red light, snap a receipt, forward a PDF. She turns it into work you can track.
- Comparisons6 min read
What "integrations" actually means for an AI assistant
Most AI assistants claim integrations they cannot really use. Here is what a working connection looks like, and why reading and writing both matter.
- Field notes6 min read
Approval-first AI: why Niyra asks before she acts
An AI assistant that acts on your behalf needs a clear line between what it does and what it asks about. Here's how Niyra draws it, and why.
AI assistant approvalsAI agent safetyhuman in the loop AI - Comparisons7 min read
The Best AI Executive Assistant in 2026 (Honest Take)
A founder's guide to choosing an AI executive assistant in 2026. What Lindy, Motion, Fyxer, Superhuman, ChatGPT, a human EA, and Niyra each do best.
best AI executive assistantAI executive assistant - Field notes4 min read
From chatbot to agent: the five shifts that actually matter
Everyone is calling their product an agent now. Most are not. Here are the five real shifts that separate an agent from a chatbot, and what to look for when you evaluate one.
AI agentchatbot vs agentagentic AIpersonal AI agent - Build in public7 min read
Why a Bigger Context Window Will Never Be Memory
AI memory is an engineering problem, not a model problem. A walk through the three layers behind Niyra's memory, versioned facts, and a control panel you own.
AI assistant memoryhow AI memory workspersonal AI memory - Field notes7 min read
The Morning Brief That Actually Gets Read
Most people spend 40 minutes checking five apps every morning. A good AI daily brief solves that by coming to you. Here's how to set one up right.
AI daily briefAI morning briefing - Build in public6 min read
What changes when your AI actually reads your inbox
We built Life Index so Niyra can learn your world from Gmail, Calendar, and Docs. Here is how it works, what we refused to do, and why opt-in matters.
AI reads your emailpersonal AI privacyAI assistant context - Field notes4 min read
The AI executive assistant is here, and it still doesn't do the work
Most AI executive assistants draft emails and call it a day. The real job is running the operational layer of a life or a business. Here is what that takes, and why most products stop short.
AI executive assistantAI EApersonal AI assistantAI agent vs chatbot - Field notes7 min read
What Actually Changed in AI Executive Assistants
The model stopped being the bottleneck. Here is what genuinely advanced in AI executive assistants over two years, and what is still just a demo reel.
AI executive assistant 2026state of AI assistants - Build in public6 min read
Why Niyra Lives in WhatsApp With Her Own Number
We shipped Niyra as a first-class WhatsApp AI assistant with her own number and zero setup. Here is what that took and why we bothered.
WhatsApp AI assistant - Field notes4 min read
Why your AI assistant forgets everything, and why that stops working in 2026
A chat that resets every session is not an assistant. It is a search box that talks. The case for durable, structured memory in personal AI, and why 2026 is the year it becomes non-negotiable.
AI memorypersonal AI memoryAI assistant forgetslong-term memory AI - Build in public3 min read
The MDX-loader bug that shipped for months
How a single-character typo (singular vs plural directory names) silently 404ed every MDX-backed dynamic route on niyra.ai for months, and the small fix that brought it all back.
engineering postmortembug fixNext.js MDXsilent failures - Field notes3 min read
Why personal AI actually needs memory
A chat assistant that forgets is just a search box that talks. The case for durable, structured memory in personal AI, and the specific design choices behind Niyra's three-layer memory.
AI memorypersonal AIlong-term contextAI assistant design - Field notes3 min read
BYOK and the economics of personal AI
When BYOK pays off, when subscription credits do, and why bundling Opus-tier reasoning into a flat plan would price everyone out for the few hours of premium work they actually need.
BYOKAI pricingpersonal AI costClaude Opus pricing - Build in public3 min read
Shipping MCP server mode, Niyra as a tool other agents can use
Niyra is a client (calling 32+ integrations and 100+ native tools) and now also a server (Claude Desktop, Cursor, any MCP-aware client can call her). Why the symmetric design matters for the next year of agentic interop.
MCP serverModel Context ProtocolAI agent interopNiyra MCP - Niyra in India3 min read
India-aware by default
Why a personal AI assistant built outside the US/Europe market gap (GST, RC/PUC, EMI, Razorpay UPI, Hinglish voice) is the right answer for a third of the world that existing AI tools serve poorly.
India AIpersonal AI IndiaHinglish AIRazorpay AI