Product drops, founder notes and field reports on running AI inside real businesses. Written by the team, not a content farm.
33 pieces · 6 authors · since May 23, 2024
Founder Notes
The breakthrough in making Intuist autonomous was a second, skeptical agent that audits the first and demands receipts. Verification, not models, is the moat.
10:33pm a customer app healed itself. 6:03am the platform fixed its own bug and shipped it. 30 production tickets in 24 hours, one needed a human.
IBM lost $69 billion of market cap in a day. The money did not vanish, it moved. What the shift to building software means for the 33 million SMBs who cannot.
Since July 5 the AI that runs Intuist has shipped 8 of its own fixes through the gated deploy, measured the result and reverted regressions. Raw log is public.
Everything, newest first
An AI bot beat 9 of 10 human pen testers. Why in-house AI PoCs on legacy stacks are a security risk, and how Intuist patches in hours, not weeks.
Intuist's 2025 recap: Dynamic LLM Orchestration, ready-to-deploy agent templates, trust and audit controls, impact stories, and what's next in 2026.
The landscape of IT services is rapidly transforming. The evolution from MSP to AISP is a strategic imperative for growth and relevance.
Why most SMB agentic AI pilots stall before production, where agents already pay off, and how no-code platforms let managers build their own agents.
AI’s power is huge, but complexity blocks adoption. Discover why SMEs struggle and how an invisible tech layer can make AI simple, practical, and scalable.
Trust is the foundation of enterprise AI. How Intuist keeps your data private with grounded RAG, transparent logs, enterprise-grade security and full control.
Intuist AI offers ready-to-deploy templates designed for real business needs and paired with the best model for the job.
Discover how AI turns online shopping into a seamless chat. Find products, add to cart, and checkout in one natural conversation.
Static moats fade fast in AI. The real edge is dynamic moats: systems that adapt, learn, and compound with every model, task, and customer.
Intuist's DLO (Dynamic LLM Orchestration) picks OpenAI, Claude or Gemini per request: faster answers, up to 30% lower cost, automatic fallbacks, zero config.
How a coach at capacity built a no-code AI companion on Intuist AI that answers clients 24/7 in her voice, syncs with her tools, and scales without burnout.
AI Companions are the next frontier, offering empathetic, expert digital partners for health, education, coaching and more. Discover what sets them apart.
Nonprofits are using AI to take control of their data and are garnering new insights in a fraction of the time it used to take them.
Clone your best SE & have them work 24/7! We’ve built an AI Sales Engineer that trains itself every night by learning from your team's live sales calls.
How Intuist AI beats general-purpose chatbots on enterprise trust: proprietary RAG security, a full audit trail of every interaction, and SOP enforcement.
Over the past year, I’ve been building AI solutions that actually deliver results—cutting costs, improving quality, and saving time across real organizations.
Building a custom RAG stack means complexity, cost, hallucinations and upkeep. See how RAG as a Service from Intuist AI delivers accurate retrieval in minutes.
Why nonprofits struggle with AI adoption, and how strategic approaches, expert partnerships and scalable tools turn AI into impact and efficiency.
Nonprofits lag for-profits in AI adoption, held back by risk aversion and thin resources. Why that's costly, and how AI can cut grant-writing time up to 10x.
Six ways a Custom Agentic Platform (CAP) puts AI to work: website and support chatbots, technical-manual assistants, and HR, marketing and finance agents.
Six intuist.ai features now live: RAG-API-as-a-Service out of beta, WhatsApp integration, RAG auto-training, grant/RFP CAPs, white-label CAPs and webhooks.
Managing AI across every enterprise department gets messy fast. See how intuist.ai centralizes control, monitoring, APIs and security for your models.
How an AI research and analytics platform turns market data and document libraries into actionable insights, reports, and recommendations in minutes.
An AI platform built by nonprofit experts for nonprofits: enterprise-grade data security plus grant writing, RFP reviews, reports and multilingual content.
How AI helps social impact organizations cut time spent on RFPs, grant writing, donor reports and newsletters by up to 40% and refocus on their mission.
The beta of Intuist.ai RAG-API-as-a-Service: put our conversational AI directly into your business workflows, beyond a chat window.
Intuist.ai's RAG system feeds conversational AI from three sources: website pages, documents and images, and user-aware APIs, for accurate, personal answers.
Generative AI conversations need to be secure, equitable and insightful. How the Intuist.ai platform is built to deliver all three.
