Claude

10 articles

AI Heroes editorial quote card tagged Anthropic · Best Practices. A hand-drawn illustration shows one hand passing a folder to another. The quote reads: “chat is for when the output is a thought in your head, claude cowork is for when the output is something you hand to someone else,” attributed to Austin Lau, Growth Marketing Lead, Anthropic.
AI GuidesClaude CoworkAnthropic

How to Get Started with Claude Cowork: A Decision Framework for Knowledge Workers (2026)

Claude Cowork is where you delegate a whole task instead of asking a question — point it at your files and apps, describe the outcome, get finished work. The hard part isn't the prompt, it's knowing which tasks to hand it. Here's a 5-signal fit test, the three shapes a Cowork task can take, and how to get your first deliverable in ten minutes.

Marco Lobo
Marco Lobo·Jun 4, 2026·9 min read
Editorial pen-and-watercolour schematic of a Claude Managed Agents system: a lead agent carrying the Claude wordmark delegating to specialist sub-agents on a shared filesystem, with a separate grader checking output against a rubric and a dreaming memory-curation loop
Claude Launch AnalysisClaudeAnthropic

How Claude Managed Agents Actually Work: Dreaming, Outcomes, Multiagent Orchestration, and Webhooks (2026)

Anthropic gave Claude Managed Agents four new mechanics at Code w/ Claude: Dreaming, Outcomes, Multiagent Orchestration, and Webhooks. The one that changes how you build is Outcomes — a separate grader that loops the agent until a rubric is met. Here is how each one works, and when to reach for it.

Marco Lobo
Marco Lobo·May 25, 2026·9 min read
Editorial pen-and-watercolour scene of a finance analyst's desk with a board deck and spreadsheet side by side, a calm single-source-of-truth ledger beneath both, and the Claude wordmark on a checking layer under the numbers
AI in FinanceClaudeAnthropic

Inside Anthropic's Finance Team: How They Actually Wire Claude Into Board Decks and Month-End Close (2026)

Anthropic markets a Wall-Street-grade finance product — but its own finance team runs a lightweight corporate-FP&A operating model on Claude Cowork, Claude for Excel and a Google connector. The citable thing isn't the product; it's how they wire it into board cycles and the month-end close.

Marco Lobo
Marco Lobo·May 24, 2026·11 min read
Handdrawn editorial split-screen comparison: left card shows Claude (Anthropic wordmark + symbol legible) rendering an interactive curve and a clickable diagram inline in a chat bubble; right card shows ChatGPT (OpenAI wordmark + symbol legible) outputting a static bar chart with visible Python code beside an uploaded spreadsheet; a central balance/decision element between them; calm cream background, pen-and-watercolour style
AI ToolsClaude vs ChatGPTClaude

Claude vs ChatGPT for Charts, Diagrams & Visualizations: Which One Should You Use in 2026?

Upload a dataset and need a precise, downloadable chart with the code shown? That's ChatGPT. Want a visual you can poke at, iterate on in conversation, or ship as a shareable interactive tool? That's Claude. The full comparison — capabilities, plans, and where each one quietly loses.

Marco Lobo
Marco Lobo·May 23, 2026·11 min read
Handdrawn editorial illustration: a capable Claude agent (Anthropic wordmark + symbol legible) straining against heavy scaffolding poles, ropes and bolted-on guard rails labelled "orchestration", "tool wrappers", "fat system prompt"; a lighter, cleaner frame beside it labelled "boundaries that matter"; calm cream background, pen-and-watercolour style
AI EngineeringAgent HarnessHarness Debt

Harness Debt: Your AI Agent Scaffolding Is Quietly Fighting the Model (2026)

Your AI agent is probably worse than the model inside it — and the gap is your own scaffolding. An experimental harness scored over 2x Anthropic's standard one on the same model. The fix isn't a bigger framework; it's deleting the assumptions that went stale the day Claude Opus 4.6 shipped.

Marco Lobo
Marco Lobo·May 23, 2026·11 min read
Handdrawn editorial diagram of the Generator-Evaluator harness pattern — a three-agent triangle with a Planner agent expanding a 1-4 sentence prompt into a product spec, a Generator agent building feature-by-feature using a React + Vite + FastAPI + SQLite stack, and an Evaluator agent using Playwright MCP to navigate the live app and grade against design quality, originality, craft, and functionality criteria; file-based handoff arrows between the three agents; by Anthropic Labs wordmark top-right, Claude Agent SDK badge bottom-right
AI EngineeringClaude Agent SDKAnthropic

Harness Design for Long-Running AI Applications: Inside Anthropic's Generator-Evaluator Pattern (Claude Agent SDK, 2026)

On 24 March 2026 Anthropic Labs engineer Prithvi Rajasekaran published the most rigorous public account to date of how Anthropic designs harnesses for long-running AI applications — a GAN-inspired generator-evaluator pattern applied across two unusually different domains: frontend design (subjective, no binary verification) and full-stack coding (objective, machine-verifiable). The piece evolves the November 2025 Initializer + Coding Agent baseline into a three-agent planner + generator + evaluator architecture, with concrete cost-and-duration data ($200 / 6h on a retro game maker test, then $124 / 4h on a more ambitious DAW after the Opus 4.6 simplification pass). Inside the pattern, the two failure modes it fixes (context anxiety + self-evaluation bias), how it compares to LangGraph / AutoGen / OpenAI Assistants v2 / Devin, when it doesn't fit, and the canonical principle every team operating a harness should adopt: stress-test every component against the current model.

Marco Lobo
Marco Lobo·May 22, 2026·13 min read
Handdrawn founder at a whiteboard mapping Day 1, 30, 60, and 90 lanes for an AI operating plan with small agent icons and workflow notes
AI GuidesClaudeFounder AI

The Founder's Playbook, Implemented: A 90-Day Claude Rollout Guide for Founders (2026)

Anthropic's Founder's Playbook explains how AI-native startups move from idea to scale. This AI Heroes companion turns that framework into a first-90-days operating plan for founder-CEOs rolling out Claude inside a real company.

Marco Lobo
Marco Lobo·May 19, 2026·10 min read
Handdrawn small-business team gathered around a laptop while a warm AI assistant symbol connects finance sales marketing and operations workflow cards
AI GuidesClaudeClaude Cowork

Claude for Small Business in 2026: Is It Worth It for a 10-50 Person Team?

Claude for Small Business is useful when it moves work out of the chat window and into finance, sales, marketing, and operations workflows. Here is how to decide whether it belongs in your 10-50 person company.

Marco Lobo
Marco Lobo·May 19, 2026·11 min read
Handdrawn enterprise AI agent fleet diagram with role agents connected to departments, systems, memory, and governance layers
AI GuidesAI AgentsClaude

Building AI Agents in the Enterprise: Implementation Patterns for 2026

Anthropic's playbook is right about the enterprise shape. The missing layer is implementation: governed skills, MCP tools, memory, observability, worktree-safe orchestration, and agent fleets that survive contact with a 1,000-person company.

Marco Lobo
Marco Lobo·May 19, 2026·11 min read
Claude workspace beside Microsoft 365 apps with Outlook, OneDrive, and SharePoint files flowing into a single business briefing
AI GuidesClaudeMicrosoft 365

Claude Microsoft 365 Connectors: Now Available on Every Claude Plan

Claude can now connect to Outlook, OneDrive, and SharePoint on every Claude plan. That lowers the barrier for teams who want Claude working against the email, documents, and files they already use every day.

Marco Lobo
Marco Lobo·Apr 4, 2026·6 min read