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The AI Employee Library / Guides

Guides

Step-by-step practice: hiring, permissions, evaluation and the workflows teams run first. Checklists over theory.

91Guides
3Sections
10Topics
16 SEPLast updated
Guides — page 3 49–72 of 91
24 AUG 2026 Claude Code Auto Mode: What It Does, How to Turn It Off Claude Code sessions now start in auto mode on Pro, Max, and Team plans. What the safety classifier actually checks, what still prompts, and how to tune or disable it. GuidesTrust & security 13 min
Hand-drawn diagram of an agent terminal sending terminal, browser, and tool commands through a classifier diamond that routes each one to run or ask human
 23 AUG 2026 What Is Ox Alpha? The Stealth Model, Revealed as GLM-5.3-Flash Ox Alpha appeared on OpenRouter with no named maker and passed 221,000 users in three days. On August 26, Z.ai confirmed it: the model is GLM-5.3-Flash. The complete record, resolved. GuidesChoosing 10 min
Hand-drawn sketch of developers with magnifying glasses examining a mystery box tagged ox-alpha, with speech bubbles guessing GLM, Gemini, and who, and a scroll labeled 1M context
 23 AUG 2026 The 8 Best Manus Alternatives, Compared Manus users are pricing exits: credit burn, big-project drift, and now a forced data deletion. Eight real options, with current pricing and the honest fit for each. GuidesChoosing 9 min
Hand-drawn sketch of a person stepping from a small wobbly boat with a drained credit meter onto a dock lined with eight boats, each flying a different flag
 23 AUG 2026 Is Grok Bot Worth It? An Honest Early Verdict Worth trying, not worth reorganizing around: the honest early verdict on Grok Bot, from dated user reports and the vendor's own docs. Who it fits, and who hits the walls. GuidesChoosing 6 min
Hand-drawn balance scale weighing easy setup, browser reach, and always on against quota, crashes, and controls, with a sticky note reading try one workflow
 23 AUG 2026 Grok Bot Problems and Limitations: What Users Are Reporting A receipts-first record of what Grok Bot users are reporting: staff-confirmed stuck computers, measured quota burn, plan confusion, and the shared-login boundary. Dated and sourced. GuidesChoosing 8 min
Hand-drawn sketch of a robot at a desk facing a stuck cloud computer, a nearly empty meter labeled weekly allowance, and three robots reaching for one shared key ring
 22 AUG 2026 10 Best Grok Bot Alternatives (Ranked, With Receipts) Ten real alternatives to Grok Bot, ranked: what each is, who it fits, and honest reasons to switch or stay. Every claim dated, sourced, and discountable. GuidesChoosing 12 min
Hand-drawn diagram of a robot standing on a stepping stone in a stream, with an arrow pointing to five numbered doors and one open door circled
 21 AUG 2026 OpenClaw Security in 2026: What July's Advisories Mean If You Run Agents July was OpenClaw's biggest security month: 14 advisories in one day, a major hardening release, and new supply-chain research. What to check, what to harden, and where the responsibility line sits. GuidesTrust & security 8 min
Hand-drawn diagram of an agent runtime as a house with three doors labeled skills, prompts, and credentials, each with its own lock, and a hardening checklist beside it
 21 AUG 2026 Grok Bot Security, Explained: What the Shared-Computer Model Means for Your Logins SpaceXAI's own docs say separate Bots are not a security boundary. A source-grounded look at Grok Bot's shared-computer model, the vendor's own guidance, and the isolation alternative. GuidesChoosing 7 min
Hand-drawn diagram of one cloud computer holding keys, cookies, and files, with three bot figures all reaching into the same box
 19 AUG 2026 What Is Cursor Origin? Git for Agents vs GitHub A source-grounded explainer of Cursor Origin, the Git forge where coding agents are first-class actors: what shipped in the beta, how GitHub mirroring works, and what is missing. GuidesChoosing 7 min
Hand-drawn diagram of a box labeled Origin with a git branch icon, connected to a GitHub box by a double arrow labeled mirror, a pull request icon labeled PR, and an amber robot labeled agent pointing into the Origin box
 16 AUG 2026 GLM 5.3 vs Qwen3.8-Max: The Open-Weight Frontier, Compared (August 2026) Two open-weight frontier models landed in one week. A source-grounded comparison of GLM 5.3 and Qwen3.8-Max: benchmarks, licensing, pricing, and agentic fit. GuidesChoosing 8 min
Hand-drawn diagram of two model blocks labeled GLM 5.3 and Qwen3.8-Max on a balance scale, with benchmark tags hanging from each side
 16 AUG 2026 Best AI Agent Harnesses: September 2026 Rankings Across the Full Agent Stack Six agent harnesses re-ranked for September 2026 after Fable 5.1, Gemini 3.8 Flash and Muse Spark 1.3, CellCog included and receipted, plus the runtime and employee layers rankings ignore. GuidesChoosing 16 min
Hand-drawn diagram of a stack with three boxes labeled models, harnesses, and runtimes, and a circled worker at a desk labeled AI employees above them
 14 AUG 2026 What Is Grok Bot? Cost Per Month and Who It Is For A source-grounded explainer of Grok Bot, SpaceXAI's beta AI teammates: how the shared cloud computer works, what access costs, and the caveats the docs themselves flag. GuidesChoosing 12 min
Hand-drawn diagram of three bot figures connected to one shared cloud computer, each with its own screen, linked to app icons for inbox, browser, and CRM
 31 JUL 2026 The First 30 Days With an AI Employee A practical first-month operating rhythm: orient and observe (days 1-3), shadow (days 4-7), drafts (week 2), approved actions (week 3), bounded shifts (week 4), and the Day 30 decision memo. GuidesHiring 20 min
Napkin-style sketch of a 30-day calendar strip divided into five labeled phases - observe, shadow, draft, approved action, bounded shifts - with a decision flag at day 30
 31 JUL 2026 Prompt Injection for AI Employees: Why Persistent Workers Change the Risk Persistence changes the attack: a hostile instruction read today can become memory that steers tomorrow's work. Source-to-effect controls, memory write gates, and the tests that prove them. GuidesTrust & security 27 min
Napkin-style sketch of an envelope with instruction-like text flowing toward a worker figure, blocked by a gate before reaching tool, memory, and delegation sinks
 31 JUL 2026 Least Privilege for AI Agents: A Practical Access Model The smallest useful grant: distinct identity, narrow tools over open-ended shells, field-level data scope, temporary credentials, and delegation that narrows authority instead of inheriting it. GuidesTrust & security 23 min
Napkin-style sketch of three overlapping circles labeled role, task, and policy with the small central intersection highlighted as the effective grant
 31 JUL 2026 Human-in-the-Loop AI Employees: Where Oversight Belongs Approving everything trains reviewers to click through: put human gates at consequence and uncertainty boundaries, give reviewers authority to disagree, and measure override quality. GuidesTrust & security 24 min
Napkin-style sketch of a two-by-two consequence and uncertainty matrix with three zones flowing freely and the high-consequence high-uncertainty zone routed to a human figure
 31 JUL 2026 How to Write an AI Employee Job Description An operating contract, not a recruitment ad: mission, intake, responsibilities, sources, authority, deliverables, KPIs, escalation, continuity, and change control - with a copy-and-use template. GuidesHiring 29 min
Napkin-style sketch of a job description document splitting into labeled specification blocks: mission, intake, responsibilities, sources, authority, KPIs, escalation, and continuity
 31 JUL 2026 How to Write SOPs an AI Employee Can Actually Use A testable operating contract for one repeatable procedure: trigger, inputs, bounded steps, decision rules, evidence, approvals, and stop conditions - with a copyable template. GuidesHiring 28 min
Napkin-style sketch of a procedure document transforming into a step chain, each step carrying an action, evidence tag, and resulting state
 31 JUL 2026 How to Set Goals for an AI Employee A bounded result, not an unlimited direction: one owned outcome plus acceptance conditions, constraints, non-goals, authority limits, priority rules, and stop conditions - with a copyable template. GuidesHiring 24 min
Napkin-style sketch of a goal target surrounded by a labeled boundary fence of constraints, non-goals, evidence, and stop conditions
 31 JUL 2026 How to Run an AI Employee Pilot That Produces a Decision A collection of impressive demos is not a pilot. A 30-day trial with no comparison, no acceptance definition, and no stop condition is only extended product exploration. GuidesChoosing 22 min
Napkin-style sketch of a laboratory flask on a pedestal feeding a four-way decision signpost labeled go, revise, switch, stop, with an amber highlight on the go arrow
 31 JUL 2026 How to Onboard an AI Employee With Graduated Autonomy Six evidence-gated stages - prepare, observe, shadow, draft, approved action, bounded independent shifts - and the four boundaries (scope, context, access, authority) that expand one at a time. GuidesHiring 24 min
Napkin-style sketch of a six-step onboarding ladder rising left to right, each step labeled: prepare, observe, shadow, draft, approved action, independent shifts, with an evidence gate between steps
 31 JUL 2026 How to Design an AI Employee Task Board The board is a control surface, not an activity feed: seven core states, transition contracts, one owner per next action, structured blockers and approvals, and closure that actually means done. GuidesTrust & security 21 min
Napkin-style sketch of a seven-state task flow from New to Closed with gated transitions and an enlarged waiting card showing reason, owner, and wake fields
 31 JUL 2026 How to Choose an AI Employee Platform: A 12-Point Evaluation Framework Twelve evidence-weighted criteria, non-compensating gates, and one rule: score the platform you can prove, not the product the vendor can describe. GuidesChoosing 33 min
Napkin-style sketch of a clipboard scorecard with twelve criteria rows beside a row of locked gates, with an amber highlight on one gate labeled approvals
 31 JUL 2026 General-Purpose vs Specialized AI Agents: Which Architecture Fits? The wrong comparison is one smart agent versus many smart agents. The real comparison is breadth inside one context versus separation across several operating contracts. GuidesChoosing 23 min
Napkin-style sketch of one large multi-tool agent figure on the left and a row of three small single-tool specialist figures on the right, with an amber coordination line connecting the specialists
CellCog Research 192 articles · 3 sections · 604k words