Where AI Agents Sit on Gartner's Hype Cycle in 2026
Reviewed against Gartner's latest published research as of July 15, 2026.
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Enterprise AI Agent Adoption Trends in 2026
Enterprise adoption of AI agents in 2026 is not a single story, it is a pattern: agents enter through a few high-volume functions, run as pilots before they run as production, and live or die on governance and proven…
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Claude 4 as an Agent Backbone: Capabilities That Matter
When people ask which model to build an agent on, they usually want a ranking. The more useful question is which capabilities an agent actually depends on, and how a given model delivers them. Claude 4 is a strong…
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AI Agents and the EU AI Act: A 2026 Compliance Guide
The EU AI Act is the first comprehensive AI law from a major jurisdiction, and in 2026 its obligations are no longer theoretical, they are phasing in on a fixed schedule. For anyone building or deploying AI agents…
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What an Early Waitlist Actually Tells You (and What It Doesn't)
Founders love to publish waitlist numbers because they look like traction and demand nothing in return. I want to do the less satisfying thing: explain what an early, pre-launch waitlist genuinely tells you, what it…
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Month Two of Building Gravity in Public: An Honest Update
I have started over enough times to be suspicious of momentum that I cannot measure. So at the end of the first stretch of building Gravity in the open, I want to write down what is actually true rather than what…
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What 300 Blog Posts in a Month Taught Me About Content
Publishing roughly ten posts a day for a month is an unusual thing to do, and I went in expecting to learn about SEO. I came out having learned more about the difference between producing a lot and saying something,…
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The AI Agent Market in H1 2026: A Founder's Retrospective
I have watched a hype cycle from the inside three times, and the first half of 2026 had the unmistakable texture of one turning. Not a crash, a sorting. The capital was still there, the demos were still dazzling, and…
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Building a Three-Sided Marketplace: Why Gravity Has Three Sides
Marketplaces are the hardest business model I know of, which is exactly why I chose one. The easy models are easy because they are crowded; the hard ones, when they work, are defensible because almost nobody gets the…
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Getting Stakeholder Buy-In for AI Agents (Without Hype)
I have pitched ideas that were technically better than the thing that got approved, and lost. The lesson stuck: the quality of an agent project rarely decides whether it gets funded. The quality of the buy-in does. A…
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How to Plan an AI Agent Migration (From Zapier or Make)
Most teams do not migrate to AI agents because a vendor sold them on it. They migrate because a Zap broke on an edge case for the third time, or because a Make scenario grew into a 22-step chain that nobody dares…
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AI Agent Implementation Timeline: Realistic Deployment Plans
"How long will this take?" is the first question every buyer asks and the one most vendors answer badly. The honest answer is that it depends on which of four very different things you are actually building. A…
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How to Build an Executive Business Case for AI Agents
An executive does not read a business case to learn. They read it to decide whether to bet a slice of budget and reputation on you being right. Everything in the document either reduces their uncertainty or wastes…
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How to Evaluate AI Agent Platforms: A Buyer's Framework for 2026
Choosing an AI agent platform looks easy until you have to defend the decision to a CFO, a security review, and a procurement officer simultaneously. The marketing pages are interchangeable. The pricing is opaque…
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AI Agent Zero-Downtime Updates: Hot-Swap Configs Without Stopping Runs
Agent updates fail badly when they are in-place. A prompt edit lands mid-run and the second half of a conversation no longer matches the first. A new model lands and a tool-call signature shifts. An index rebuild…
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AI Agent ROI Calculator Guide: A Framework for Quantifying Value
ROI calculations for AI agents fall into two categories: defensible numbers backed by measurement, and made-up numbers backed by vendor claims. The CFO can tell the difference. This guide is the defensible version:…
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AI Agent Proof of Concept Checklist: 25-Item Pilot Structure
An agent PoC succeeds when the go-no-go decision is obvious within 6 weeks. It fails when scope creeps, baseline is missing, or no one is responsible for the call. The 25-item checklist below covers what to confirm…
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AI Agent Platform RFP Template: 60 Questions for Enterprise Procurement
This is the RFP template I send when buyers ask "give me the question list". Sixty questions across six sections, with a 1-to-5 scoring rubric and walk-away criteria. The template assumes enterprise procurement;…
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AI Agent Pilot Program Guide: From PoC to Production in 90 Days
A PoC tells you the technology works. A pilot tells you the deployment works. Most teams skip the pilot because the PoC succeeded; then production hits real volume, real users, and real operational concerns, and the…
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AI Agent Disaster Recovery Plan: Failover, Backup, RTO and RPO
Most agent platform outages I have seen were not catastrophic. A model provider had an incident; a region's vector store throttled; a deploy clobbered a prompt store; a tenant's run history was deleted by a buggy…
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Claude vs ChatGPT Workspace Agents: Tools, Cost, and Where Each Wins
Both Anthropic and OpenAI now ship enterprise chat surfaces that look almost identical in the screenshot: a chat thread, file uploads, custom instructions, connectors, and the ability to schedule or repeat work. The…
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ChatGPT Workspace Agents vs Traditional Platforms: When Chat-First Wins
The phrase "AI agent" now covers two products that look similar in a screenshot and behave very differently in production. The first is a chat-first workspace agent: ChatGPT with connectors, files, code interpreter,…
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AI Agent SOC 2 Compliance: What Auditors Actually Check
SOC 2 is the buyer-facing artifact most enterprise prospects ask for before they let an AI agent platform near their data. It is also one of the most misunderstood. The report does not certify your AI; it attests…
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AI Agent Procurement Checklist: 50 Questions Before You Sign
Most AI agent purchases go wrong at the sales-call stage, not after deployment. The team likes the demo, the vendor likes the deal, and a year later someone is paying for an unused seat tier with a 60-day notice…
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AI Agent Multi-Tenant Isolation: Patterns That Pass Audit
The classic SaaS isolation problem is well understood: keep tenant data, queries, and identity separated through the request path. An agent platform adds two new surfaces that have to follow the same rules. The…
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AI Agent Log Aggregation Patterns: Schemas, Sampling, Redaction
Agent logs grow fast. A single run easily writes dozens of structured events: orchestrator steps, model calls with input and output bodies, tool calls with payloads, retrieval queries with chunk text. Multiply by…
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AI Agent Canary Releases: Percentage Rollout for Prompts and Models
The point of a canary is to learn things evals cannot. Evals run on a held-out set; production runs on whatever showed up today. Some regressions are visible only at production scale, on production traffic shapes,…
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AI Agents for Fleet Logistics: Automate Dispatch and Routing
Fuel accounts for roughly 24 percent of total fleet operating costs, according to the American Trucking Associations (ATA, 2024). That's the single largest controllable expense for most carriers. And yet the average…
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AI Agents for Construction Firms: Bids, Safety, Tracking
Construction is a $1.36 trillion industry in the United States alone (U.S. Census Bureau, 2025). Yet it remains one of the least digitized sectors on the planet. Projects run over budget 80% of the time. Rework eats…
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AI Agent Vendor Evaluation: A Scoring Framework
Picking the wrong AI agent vendor costs more than the subscription fee. According to The Standish Group's CHAOS Report (2020), 66% of software projects end in partial or total failure, and poor vendor selection is a…
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