Disclosure: Jarvis AI is a product of ASCENDING Inc., which publishes Explore Agentic. We flag every page that discusses Jarvis and mark comparison tables that include it. Our editorial policy is on the About page.
Field-tested writing on enterprise agentic AI
In-depth essays from the teams shipping Jarvis AI for ASCENDING customers. Every piece mentioning Jarvis carries a disclosure — see our editorial policy.
AI Governance
Pillar →- 01Prompt injection 13 min read By Cynthia Zhang
Prompt Injection Defense for Enterprise AI Agents: A Layered Control Model
Prompt injection turns retrieved text into commands your agent obeys — and agents act, not just answer. This layered control model stacks least privilege, sandboxing, dual-LLM isolation, and detection against OWASP LLM01 and NIST AI RMF.
Read - 02Glean Protect Plus 12 min read By Chandler Benson
Glean Protect Plus: what the new governance SKU actually closes, and what it pushes behind a paywall
A procurement editor's read on Glean's May 2026 governance tier. The controls that genuinely move the audit posture forward, the baseline features that quietly migrated upmarket, and three procurement questions to bring to the CISO call before signing.
Read - 03Platform operations 8 min read By Chandler Benson
The Glean admin nobody quotes: a staffing model by org size
Field notes from customer deployments. What the platform-ops FTE actually does week to week, how many hours it takes at 200, 500, 1500, and 5000 seats, and the three signals you're under-staffed.
Read - 04Procurement 10 min read By Merve Tengiz
Glean discount playbook: 11 line items procurement should negotiate before signing
Glean's list price is not the price you sign — if you walk in with the right homework. Eleven levers, the realistic range on each, what Glean's account team will push back with, and the three things that go wrong in year two.
Read - 05Compliance 8 min read By Gloria Qian Zhang
Glean alternatives for regulated industries: the audit-trail question that decides procurement
What kills Glean deals in regulated industries is the per-call audit story. How HIPAA, FFIEC, and FedRAMP buyers separate platforms that can produce evidence from those that can't.
Read - 06Data residency 7 min read By Kelvin Yu
Enterprise AI Without the Security Compromise: A Framework for Governed AI Deployment
Security and AI capability shouldn't be a tradeoff. The architecture choices — data residency, IdP integration, access parity, encryption — that let you deploy enterprise AI without the compromise.
Read - 07Governed AI 7 min read By Gloria Qian Zhang
AI Governance Isn't Optional — Here's How to Actually Do It
Most enterprises have no systematic way to control what flows into AI models. A three-stage gateway plus an 8-step rollout is the framework that fits how security, legal, and IT actually buy.
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Enterprise RAG
Pillar →- 01RAG evaluation 12 min read By Tommy Tao
RAG Evaluation: Measuring Retrieval Quality Before You Ship
Most RAG failures are retrieval failures, and you cannot fix what you do not measure. A practitioner guide to retrieval evaluation: metrics, gold sets, component ablations, LLM-as-judge, and CI gating.
Read - 02Glean implementation cost 13 min read By Kelvin Yu
Glean year-zero cost: what a 500-seat deployment actually burns before the first renewal
Field notes from customer-program conversations. The cost lines nobody quotes in the order form — paid POC, security review, identity integration, connector configuration, internal FTE — sized month by month for a hypothetical 500-seat rollout.
Read - 03Procurement 7 min read By Merve Tengiz
Glean's 100-seat minimum: why mid-market buyers get priced out at the first quote
A 100-seat floor and a ~$60K ACV starting point are doing more shape-changing to the mid-market buying decision than anyone at Glean admits. Three scenarios where the floor blocks you and what to evaluate instead.
Read - 04FlexCredits 9 min read By Alexander Groman
Glean FlexCredits, explained: how Enterprise Flex meters agent actions and what a credit actually costs
Glean's usage-based pricing meter is a black box outside the order form. Field notes on credit cost per agent action, a sized worked example for a 500-seat firm, and the query patterns that burn pools faster than the rep forecasted.
Read - 05AI adoption 8 min read By Laura Bradley McCoy
Enterprise AI Adoption Without the Complexity: A Practical Guide for Leaders Ready to Move Fast
Most AI initiatives stall between pilot and production. A three-pillar architecture — governed LLM access, identity integration, RAG-grounded knowledgebase — and a 7-step rollout that actually ships.
Read - 06IDP 6 min read By Tommy Tao
Your Documents Are Sitting on a Gold Mine — Here's How AI Unlocks It
Traditional OCR digitized documents but never made them useful. IDP combines vector search, multimodal understanding, and intelligent OCR to turn document archives into operating knowledge.
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Model Context Protocol
Pillar →- 01MCP security 13 min read By Alexander Groman
MCP Server Security: The Threat Model and a Hardening Checklist for Tool-Calling Agents
MCP server security treats every tool-calling agent as a confused deputy with real credentials. This is the working threat model — prompt injection, tool poisoning, token replay — and a hardening checklist you can apply today.
Read - 02MCP cost 6 min read By Alexander Groman
What I Learned About Using MCP Tools Without Burning Money or Getting Bad Answers
Tool results decay silently as the context window fills. Re-fetching is cheaper than degraded answers, prompt caching is the actual cost lever, and a session with 30 tools is its own quality problem.
Read - 03MCP server 10 min read By Kelvin Yu
AWS AgentCore vs Azure AI Foundry: Lessons from Shipping MCP Servers and Agents on Both Clouds
Two platforms converging on capability but diverging on philosophy. Field notes from teams who deployed both, with the auth, A2A, and framework decisions that matter at production.
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Agentic AI
Pillar →- 01Agent evaluation 13 min read By Soraya Zheng
AI Agent Evaluation: How to Test Agents Before Production
AI agent evaluation means scoring multi-step, tool-using trajectories, not single answers. A practitioner's guide to eval sets, dimensions, offline vs online testing, LLM-as-judge, and CI gates.
Read - 02Multi-agent systems 13 min read By Kelvin Yu
Multi-Agent Orchestration Patterns: Supervisor, Swarm, and Pipeline
Multi-agent orchestration coordinates several LLM agents on work one agent cannot finish alone — but most systems should stay a single agent with tools. Here are the supervisor, swarm, and pipeline patterns, with use-when rules, failure modes, and cost.
Read - 03Glean Skills 11 min read By Kelvin Yu
Glean Skills and Adaptive Reasoning: is the "enterprise AI coworker" an agent runtime, a workflow runner, or a relabel?
Seven days after the May 20 launch. A practitioner's read on what Glean actually shipped with Skills, Adaptive Reasoning, approval controls, voice, and the shared Library — where it earns its keep, and where the runtime-versus-runner question still matters.
Read - 04Procurement 7 min read By Kelvin Yu
Glean renewal checklist: five signals to renegotiate or leave before signing year two
Your renewal quote landed 60 days out and the price went up. Five signals to check, ten procurement questions to ask, and a shortlist of what to evaluate next.
Read - 05Retail AI 6 min read By Tommy Tao
Retail Inventory Search Is Broken — Here's How AI Cuts the Cost of Every Miss
Every 'not found' search in a retail system isn't a stockout — it's a search failure that drives backfill orders, overproduction, and markdown losses. Multimodal agent-driven search closes the gap.
Read - 06Retail AI 6 min read By Cynthia Zhang
From Fragmented Reports to Loyalty Growth: AI Reporting for Chain Retailers
Customer data sits in POS, Paytronix, ERP, and supply-chain systems — and the analyst queue makes it useless at executive tempo. Agent orchestration plus conversational NLQ closes the gap.
Read - 07GenAI strategy 6 min read By Merve Tengiz
Before You Build: Why a GenAI Assessment Is the Most Important Step Most Companies Skip
Most failed GenAI initiatives are planning failures, not technology failures. A use-case-first assessment grounded in objective model benchmarking is the cheapest investment with the biggest lever.
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