AI SYSTEMS LAB
Minimanishtic Labs builds and operates its own AI products, and designs custom agent systems and automations for businesses that need outcomes, not demos.
AI & LLM SERVICES
Six ways the Lab puts AI into production. Every engagement starts from the business case, not the tooling.
Workflows that run without you. 50+ automations already in production across lead gen, hiring, content, research, and ops.
Multi-agent systems that carry work end to end, with human approval gates where judgment matters.
Applied generative AI for text, image, and video, wired into real pipelines rather than one-off demos.
An honest read on where AI fixes a business problem and where it does not, from an operator who has run the P&L.
Fixed-scope systems specced up front, built fast, and handed off with documentation so you own them.
Retrieval-grounded assistants that answer from your own data, with the guardrails to run in production.
PRODUCT DEVELOPMENT
Products built in-house, live and earning. The same systems the Lab builds for clients, proven on its own products first.
The intelligence layer under AI image prompts. Search 6,800+ classified images by what you want to see, reverse-engineer any image into an 8-element prompt recipe, and reformat prompts across 10 models. Sub-second semantic search.
Research-backed GTM strategy in under two minutes, with every claim cited to a real source pulled from Reddit, Twitter, and YouTube. Runs at $0.52 per strategy against consultant reports that cost thousands and take weeks.
The creative arm of the Lab. AI-powered ad and content production: concept to finished video and image assets, at a pace and cost traditional production cannot match. Powered by the same agent systems the Lab builds for clients.
Runs on Mojo, a 7-agent orchestration system that compresses multi-week creative sprints into days across 175+ languages.
Visit Konvert.MediaINDUSTRIES
The systems are domain-agnostic. The judgment behind them comes from running real P&Ls across these industries.
Nine years operating EdTech P&Ls. Agents for content ops, learner support, and enrolment workflows.
Lead qualification, follow-up, and listing automation that keeps a small team responsive at scale.
Retrieval-grounded assistants and intake automation, built with humans in the loop where it counts.
Internal tooling, research pipelines, and multi-agent systems that compress engineering ops.
Creative production, catalog enrichment, and outreach engines, run at a fraction of manual cost.
GTM research, cited strategy, and in-product AI features, shipped to production, not left as demos.
CASE STUDIES
A small number of custom builds, each a fixed-scope system specced up front, built fast, and handed off so you own it.
Mojo, a 7-agent orchestration system running real client work. Built in 36 hours. Compresses 4-to-6-week creative sprints into days, works across 175+ languages, and runs on infrastructure under $40 a month. Human approval gates at every major handoff.
Research-driven outreach systems deployed for two companies. Cut per-prospect time from 15-20 minutes to about 30 seconds of human review. One deployment saves roughly ₹60K a month. Research cost per prospect: about $0.05.
50+ automations in production across lead gen, hiring, content, research, and ops, including one pipeline that replaced a 5-to-6-hour daily manual content chain.
How engagement works
30 minutes on your problem and whether an AI system actually fixes it. If it does not, you will hear that.
What gets built, what it costs, when it ships. No open-ended retainers.
Working system, deployed with observability built in.
Documentation, a walkthrough, and a bounded support window. You own it.
THE BENEFITS
Every system ships deployed, with observability and humans in the loop where judgment matters. You get something that runs, not a slide.
Nine years running P&Ls means the numbers come first. If the economics do not work, the Lab will tell you before you spend.
Specced up front, built fast. Mojo went from zero to a 7-agent system in 36 hours. No open-ended retainers.
Handoff includes documentation, a walkthrough, and a bounded support window. The system is yours to run.
TESTIMONIALS
Across different chapters, teams, and companies. The environments changed; the operator did not.
“I've worked with Manish for over 3 years across multiple 0→1 and scale-stage projects, and his relentless drive for execution and impact truly stands out. He takes full ownership, digs deep into user needs and competition, and builds with empathy. A rare blend of commercial sharpness and operational discipline, backed by structure, rigour, and high standards.”
Punith Reddy
Head of New Initiatives · CRED
“I've worked with Manish across multiple projects, and he consistently brings sharp execution, adaptability, and strong ownership to the table. He was instrumental in building our category from the ground up, combining deep sales and marketing acumen with sustainable business thinking. A reliable operator and someone I'd gladly work with again.”
Akshay Palande
Associate Director · Unacademy
“Manish brought an amazing energy with him every day to work. His positivity, enthusiasm, and eagerness to keep learning made him a great individual performer. He also passed those traits on to his associates, which is what made him a strong leader.”
Rohan Mukherjee
Building Aspora · Ex-Unacademy
“It's been fantastic working with Manish, who is an exceptional team player, super organised, and highly skilled at problem solving. He has been instrumental in growing categories from scratch and consistently showed strong leadership.”
Jenish Kamdar
AD, Blinkit · Ex-Unacademy
ABOUT
Minimanishtic Labs designs and ships AI systems and products that solve real business challenges. The Lab builds and operates its own products, takes on a small number of custom builds for businesses, and runs Konvert.Media as its creative arm.
The journey
The Lab started where the operator did: bootstrapping an ecommerce venture out of college, then scaling categories to a ₹30 Cr ARR portfolio and 7 P&Ls at PhysicsWallah. After nine years of running businesses, Manish went back to the workshop, building AI systems with his own hands instead of only directing them.
Minimanishtic Labs is what came out of that: a place where operator instinct meets a builder's toolkit. Every system starts from the business case and ships with humans in the loop where judgment matters. It is built for founders and operators who need outcomes in production, not another demo.
RESOURCES
Write-ups on how these systems get made, hosted on manishdwivedi.in.
The architecture, what broke, and what I'd do differently.
Read the build noteSemantic search over 6,800+ images, built solo for $120 in API credits.
Read the build noteScrapers plus LLM synthesis reaching insights frontier models cannot.
Read the build noteResearch-driven B2B outreach with taste kept human.
Read the build noteGET STARTED
Book a discovery call. Thirty minutes, no pitch, an honest read on whether a system is worth building.