Resource Guide • 2026

The Claude
Platform Playbook

A practical guide to extracting maximum value from all four Claude interfaces. No fluff. Just what works.

Claude Chat
Power Features
Claude Code
Cowork

Four Interfaces. One Operating System.

Claude is not a chatbot. Across four distinct interfaces — Chat, Power Features, Claude Code, and Cowork — it functions as a complete work operating system for the teams that know how to use it. Most organizations use roughly 20% of what is available to them. This playbook closes that gap.

Each section covers the core capabilities of one interface, the highest-leverage workflows for business operations, prompt patterns that produce consistent results, and the failure modes to avoid.

Claude Chat

Session-based conversation at claude.ai. Best for one-off drafting, document analysis, web research, and generating client-facing materials.

Power Features

Projects, Memory, Deep Research, Extended Thinking, MCP Integrations, and Artifacts. Transforms Claude from a chatbot into a persistent work environment.

Claude Code

Agentic coding tool in your terminal, VS Code, JetBrains, Desktop app, or browser. Reads codebases, executes commands, manages git, and connects to services via MCP.

Cowork

Agentic desktop assistant that handles complex, multi-step tasks autonomously. Reads and writes local files, coordinates sub-agents, and produces professional documents.

Before You Start: Three Rules

  • 1
    Context is capital. The more relevant context you give Claude, the better the output. Generic prompts produce generic results.
  • 2
    Claude does not push back unless you ask it to. Build verification loops into anything consequential before treating output as final.
  • 3
    The four interfaces are not interchangeable. Chat is for conversation and drafting. Power Features are for structured project work. Claude Code is for software and automation. Cowork is for autonomous multi-step knowledge work.

01

Claude Chat

claude.ai  |  Web, Mobile, Desktop App

Claude Chat is the primary conversational interface available at claude.ai. It is session-based: each conversation has its own context window. Unless Projects or Memory is enabled, Claude does not carry knowledge between sessions. The context window — up to 1M tokens on Sonnet and Opus — handles an entire project brief, multiple documents, and extensive supporting materials in a single session.

What Chat Can Do

Long-form Drafting

Proposals, reports, emails, SOPs, and content. The context window handles up to 1M tokens on Sonnet and Opus — enough for a full project brief plus extensive supporting materials.

Document Analysis

Upload PDFs, Word docs, and spreadsheets. Claude reads, summarizes, extracts, compares, and synthesizes across uploaded files.

Structured Output

Ask for JSON, markdown tables, numbered frameworks, or any format your downstream workflow requires.

Multi-turn Reasoning

Complex analytical tasks requiring iterative refinement. Each exchange builds on the last within a session.

Image Analysis

Upload screenshots, diagrams, and photos. Claude describes, extracts data, flags issues, and compares visuals.

Web Search

Available on paid plans. Claude queries the web and synthesizes results with citations. Use for competitive research and current events.

Artifacts

Code, HTML, React components, SVG, and markdown render in a live side-panel. Edit and iterate without leaving the conversation.

File Creation

Generate .docx, .xlsx, .pptx, and .pdf directly from conversation. Downloadable outputs without copy-pasting into other tools.

Three Patterns That Produce Consistent Results

These are reusable structures. Treat them as starting frames, not rigid scripts.

The Context Sandwich - [Role] + [Context] + [Task] + [Constraints] + [Format]

You are a proposal writer for a B2B consulting firm. Context: We are responding to [CLIENT NAME], a [INDUSTRY] company with [SIZE] employees. Their main pain points are [PAIN POINTS]. We had a discovery call on [DATE]. Task: Write the Approach section of a proposal for a CRM implementation project. Constraints: Outcome-focused language. No more than 400 words. Format: 3 paragraphs. First: current state and cost of inaction. Second: our methodology. Third: what success looks like at 90 days.

Push-Back Activation - Get honest evaluation, not validation

Before drafting, identify the three weakest assumptions in this approach and explain what evidence would be needed to validate each one.

Iterative Refinement Loop - 3-step for complex deliverables

# Step 1 - Outline before writing Give me a proposed structure for this document. Do not write the full content yet. List each section with a one-sentence description of what it will contain. # Step 2 - Section-by-section (repeat per section) Write the [SECTION NAME] now. Stick to the structure we agreed on. # Step 3 - Final review pass Review the complete document for: tone consistency, missing elements, and any section that sounds generic rather than client-specific.

High-Value Workflows in Chat

Use CaseHow to PromptExpected Output
Proposal draftingFeed discovery notes and pain points. Ask for a value-building sequence: Approach > Solution > Why Us > Deliverables > Pricing.Full proposal draft ready for review.
Discovery follow-up emailPaste call notes. Ask for a follow-up that ties specific pain points to your firm's capabilities. No generic language.Personalized email with pain point hooks.
SOW languageProvide scope bullets and deliverables. Ask to convert into a formal SOW with milestone structure.Contract-ready SOW section.
Competitive analysisEnable web search. Ask to compare [Competitor] vs your firm on a specific capability. Provide context on your offering.Side-by-side comparison table with sources.
Meeting preparationUpload a proposal or SOW. Ask for the five most likely objections and prepared responses.Objection handling script.
AI maturity assessmentFeed client intake information. Ask Claude to score against a maturity framework and justify each score with evidence.Maturity score with evidence and recommended next steps.
Process documentationDescribe a workflow verbally. Ask Claude to convert it into a step-by-step SOP with decision points and handoffs noted.Structured SOP document.

What Goes Wrong in Chat

TRAP 1
Providing too little context and treating the first output as final. Every thin-context response needs a review pass with the actual specifics injected.
TRAP 2
Using Chat for tasks that belong in a Project. If you find yourself re-uploading the same files every session, Projects will eliminate that overhead.
TRAP 3
Accepting the first draft. Claude's first output is a starting point. Budget at least one refinement pass for anything client-facing.
TRAP 4
Prompting for features instead of outcomes. Do not write "list the features of this tool." Write "explain how this tool solves [PROBLEM] for a [SIZE] company."

02

Power Features

Projects  |  Memory  |  Deep Research  |  Extended Thinking  |  MCP Integrations  |  Artifacts

Power features transform Claude from a per-session chatbot into a persistent work environment. They are available on Pro and Max plans. The six features below represent the highest-leverage capabilities for business operations teams.

Projects Persistent workspaces with document memory

Projects are persistent workspaces. Files, instructions, and conversation history persist across sessions. Each Project has its own memory scope, preventing context from one engagement leaking into another.

  1. Create a Project for each client engagement, service line, or internal workstream (e.g., "Client: Acme Corp", "Proposal Templates", "Operations").
  2. Upload foundational documents: discovery notes, signed SOWs, intake forms, existing proposals, process documentation.
  3. Set Project Instructions to define context, tone, and constraints that apply to all conversations in that workspace.
  4. Use all subsequent conversations within that Project. Claude references uploaded files and maintains your instruction context automatically.

Recommended Project Structure for Business Teams

  • Client Projects — One per active engagement. Contains SOW, discovery notes, proposal drafts, and client communications.
  • Service Line Projects — One per service type. Contains templates, pricing frameworks, methodology documents, and reusable sections.
  • Proposal Library — Central Project with all reusable proposal sections, case study drafts, and frameworks.
  • Internal Operations — Company playbooks, HR documents, onboarding checklists, recurring workflow instructions.

Memory Cross-session context retention

Memory allows Claude to retain information derived from past conversations. It builds a profile across sessions covering your role, ongoing projects, communication preferences, and recurring context. This eliminates re-establishing context at the start of every chat.

  • Claude generates memory summaries from chat history and stores them by domain: Role and Work, Current Projects, Preferences and Constraints.
  • Memory is separate from Projects. Project memory is document-based. Conversation memory is AI-derived and synthesized from past interactions.
  • View, edit, and delete individual memories from Settings. Use this to correct any inaccuracies Claude has inferred.
  • Memory is disabled in Incognito conversations. Use Incognito when working on sensitive information you do not want retained.
  • Available on Pro, Max, Team, and Enterprise plans.
Practical Use
After each significant client session, ask Claude to "summarize the key decisions from this conversation for future reference." This seeds accurate, clean memory entries rather than relying on Claude to infer them.

Deep Research Multi-step, multi-source synthesis

Deep Research is a multi-step research mode where Claude coordinates multiple search queries, reads full web pages, synthesizes across sources, and produces a structured report with citations. It is significantly more thorough than a standard web search response.

When to use Deep Research:

  • Competitive landscape analysis before entering a new vertical or responding to an RFP
  • Market sizing for a prospect's industry before a discovery call
  • Regulatory and compliance context for industries you are targeting
  • Technology comparison across multiple platforms for a specific use case
  • Grant or funding program eligibility research on behalf of clients
Prompt Pattern
Ask Deep Research to produce structured outputs with section headers, a confidence rating for each claim, and citations. This gives you defensible research you can reference directly in proposals and client communications.

Extended Thinking Deeper reasoning on complex problems

Extended Thinking allocates additional reasoning budget to Claude before it produces a response. Instead of answering immediately, Claude works through the problem internally before delivering a final output. The result is materially better on complex, multi-variable decisions. Now available on all three current models: Opus 4.6, Sonnet 4.6, and Haiku 4.5.

When to activate Extended Thinking:

  • Evaluating whether a business process is a strong candidate for AI automation
  • Sequencing multiple AI use cases across an implementation roadmap
  • Pricing complex custom engagements where scope is ambiguous
  • Diagnosing why an automated workflow is producing unexpected results
  • Reviewing a contract or SOW for gaps and risk exposure
How to Activate
In Claude.ai, toggle the "Extended Thinking" mode before submitting your prompt. Available on Pro, Max, Team, and Enterprise plans across all current Claude models. Opus 4.6 and Sonnet 4.6 also support Adaptive Thinking, which dynamically adjusts reasoning depth based on task complexity. Reserve Extended Thinking for decisions where the cost of being wrong is high.

MCP Integrations Live connections to your tools

MCP (Model Context Protocol) allows Claude to connect directly to external tools and services. Instead of copy-pasting data between platforms, Claude reads from and writes to them live. The integration ecosystem continues to expand — below are key integrations available on claude.ai and across Claude interfaces.

Google Calendar

Available

Read events, create meetings, check availability. Schedule follow-ups and block focused work time from within a chat session.

Gmail

Available

Read threads, draft replies, send emails. Draft and send client communications directly without switching to your inbox.

Notion

Available

Read and write pages, search your workspace, create databases. Update project notes and checklists without leaving Claude.

Apollo.io

Available

Search contacts, enrich leads, pull prospect data. Research target accounts before drafting personalized outreach.

Fireflies

Available

Fetch meeting transcripts, search recordings, pull summaries. Feed call transcripts directly to Claude for follow-up generation.

Canva

Available

Search designs, create from templates, export assets. Generate visuals and branded materials from within a Claude session.

Google Drive

Available

Read files, search across your Drive, and access documents. Pull existing client materials directly into your Claude workflow.

Stripe

Available

Manage customers, invoices, payments, and subscriptions. Query billing data and create payment links without leaving Claude.

Wix

Available

Manage sites, call REST APIs, build pages, and search documentation. Control your Wix web presence from within Claude.

Zoho Suite

Available

CRM, Books, Projects, Calendar, Mail, and WorkDrive. Read and write records across the Zoho ecosystem directly from Claude.

Artifacts Live rendered outputs in a side panel

Artifacts open a live side-panel where Claude renders interactive content including code, HTML pages, React components, SVG diagrams, and markdown documents. You can edit and iterate in real time without switching tools.

High-value Artifact types for business teams:

  • HTML pages — Client-facing proposal summaries, service one-pagers, event landing pages.
  • React components — Interactive ROI calculators, assessment tools, implementation progress trackers.
  • Mermaid diagrams — Workflow maps, CRM pipeline visualizations, process documentation for client handoffs.
  • Markdown documents — Proposal drafts, training curriculum outlines, SOPs that export cleanly to other formats.

03

Claude Code

Terminal  |  VS Code  |  JetBrains  |  Desktop App  |  Web

Claude Code is Anthropic's agentic coding tool. It operates in your terminal, IDE, desktop app, or browser — understanding your codebase and executing tasks from natural language instructions. It reads and writes files, runs bash commands, manages git workflows, connects to external services via MCP, and supports scheduled tasks, plugins, and remote control from any device.

It is the right tool for building AI agents, automating repetitive file and data operations, generating deliverables programmatically, and managing the technical infrastructure behind your AI workflows.

Requirements and Setup

  • A Claude Pro, Max, Team, or Enterprise subscription, or an API key from the Anthropic Console
  • macOS, Linux, or Windows (Git for Windows required on Windows)
  • Multiple installation methods: native installer (auto-updates), Homebrew, or WinGet
# Native installer (recommended, auto-updates) # macOS / Linux / WSL: curl -fsSL https://claude.ai/install.sh | bash # Windows PowerShell: irm https://claude.ai/install.ps1 | iex # Homebrew (macOS): brew install --cask claude-code # WinGet (Windows): winget install Anthropic.ClaudeCode

Available across five surfaces — all connected to the same underlying engine. Your CLAUDE.md files, settings, and MCP servers work across all of them:

Terminal CLI

Full-featured command line. Edit files, run commands, manage your entire project from the terminal.

VS Code

Extension with inline diffs, @-mentions, plan review, and conversation history directly in your editor.

JetBrains

Plugin for IntelliJ, PyCharm, WebStorm with interactive diff viewing and selection context sharing.

Desktop App

Standalone app for visual diff review, multiple sessions, scheduled tasks, and cloud sessions.

Web

Run at claude.ai/code with no local setup. Long-running tasks, parallel sessions, and mobile access.

Core Slash Commands and Flags

Command / FlagWhat It Does
/helpLists all available commands including custom skills you have defined.
/modelSwitch between Sonnet 4.6, Opus 4.6, or Haiku 4.5 mid-session.
/clearResets conversation context. Use between unrelated tasks to avoid context bleed.
/compactSummarizes the current conversation to reduce token usage during long sessions.
/memoryView and edit CLAUDE.md files and auto memory for the current project.
/initGenerate or update a CLAUDE.md file by analyzing your codebase. Interactive multi-phase flow available.
/rewindRolls back to a previous checkpoint. Undoes Claude's code changes without affecting your own edits.
/resumeResume a previous session by name or ID, or pick from a list of recent sessions.
/scheduleCreate a scheduled task that runs on a recurring cadence — cloud or local.
/desktopHand off the current terminal session to the Desktop app for visual diff review.
/renameSet or change a display name for the current session.
/loopRepeat a prompt within a session on an interval for polling or monitoring.
claude -p "prompt"Non-interactive (headless) mode. Pass a prompt as a flag for scripts and automation pipelines.
claude --model opusStart a session with a specific model override from the command line.
claude --worktree nameStart Claude in an isolated git worktree for parallel sessions.
claude --remote "task"Create a new web session on claude.ai with a task description.
claude --remote-controlStart a session controllable from claude.ai or the Claude mobile app.
claude --teleportResume a web session in your local terminal.
claude --chromeEnable Chrome browser integration for web automation and testing.
claude --effort levelSet effort level: low, medium, high, or max (Opus only).
@./path/to/fileReference a specific file in your prompt. Claude reads and operates on that file directly.

CLAUDE.md and Auto Memory — Persistent Project Intelligence

Claude Code has two complementary memory systems. CLAUDE.md files are instructions you write — loaded at the start of every session. Auto memory is notes Claude writes itself based on your corrections and preferences, stored in ~/.claude/projects/. Together, they eliminate re-establishing context between sessions.

Example CLAUDE.md Structure

# Project: [Your Project Name] ## Standards - [Coding style or writing style rules] - [Output format preferences] - [Any constraints on language or terminology] ## Architecture - [Tech stack overview] - [Key tools and platforms in use] - [Where output files should go] ## Context - [Active workstreams or client engagements] - [Current priorities] - [Key decisions already made] ## Brand / Voice - [Tone guidelines for generated copy] - [Any terminology to use or avoid]

CLAUDE.md files can live at multiple levels — project root, user home (~/.claude/CLAUDE.md), or organization-managed. More specific locations take precedence. Use @path/to/file syntax to import additional files into your CLAUDE.md.

Auto Memory

Auto memory lets Claude accumulate knowledge across sessions without manual effort. Claude saves build commands, debugging insights, architecture patterns, and your preferences automatically. Run /memory to browse, edit, or delete what Claude has stored. The first 200 lines of the memory index are loaded at the start of every session.

.claude/rules/ — Path-Scoped Instructions

For larger projects, organize instructions into .claude/rules/ as separate markdown files. Rules can be scoped to specific file paths using YAML frontmatter, so they only load when Claude works with matching files. This keeps context lean and relevant.

# .claude/rules/api-design.md --- paths: - "src/api/**/*.ts" --- # API Development Rules - All API endpoints must include input validation - Use the standard error response format - Include OpenAPI documentation comments

Agent Teams and Sub-agents

Spawn multiple Claude Code agents that work on different parts of a task simultaneously. A lead agent coordinates the work, assigns subtasks, and merges results. Agent teams can run in parallel using git worktrees for isolation. Define custom agents via CLAUDE.md or the --agents flag.

Skills and Custom Commands

Create reusable workflows your team can share. Package repeatable tasks as slash commands like /review-pr or /deploy-staging. Skills load on demand — only when invoked — keeping context clean. Place skill files in .claude/commands/ for project-wide commands or ~/.claude/commands/ for personal commands.

Hooks

Run shell commands automatically before or after Claude Code actions. Auto-format files after every edit, run lint before commits, or trigger custom scripts tied to Claude's workflow. Hooks give you programmatic control over Claude's behavior at defined lifecycle points.

Scheduled Tasks

Run Claude on a recurring schedule: morning PR reviews, overnight CI failure analysis, weekly dependency audits, or syncing docs after PRs merge. Cloud scheduled tasks run on Anthropic infrastructure and keep running when your computer is off. Desktop scheduled tasks run on your machine with direct local file access. Create them from the web, the Desktop app, or by running /schedule in the CLI.

Remote Control and Cross-Device

Start a session in your terminal and continue from your phone or browser via Remote Control. Hand off terminal sessions to the Desktop app with /desktop for visual diff review. Push events from Telegram, Discord, or webhooks into active sessions via Channels. Mention @Claude in Slack with a bug report and get a pull request back.

Plugins

Install pre-built plugin bundles that add MCP servers, skills, and tools. Manage plugins with claude plugin install and browse available options from plugin marketplaces. Plugins extend Claude Code's capabilities without manual MCP server configuration.

Checkpoints and Rewind

Claude Code automatically saves checkpoints before each code change. If a batch of edits goes in an unwanted direction, press Escape twice or type /rewind to roll back to a prior state. You can restore the code, the conversation, or both independently.

Best Practice
Before asking Claude Code to execute a large refactor or batch file operation, confirm your working directory is clean in git. Checkpoints supplement version control; they do not replace it.

High-Value Workflows in Claude Code

Use CasePrompt PatternOutput
Generate a formatted proposal documentLoad your proposal template. Provide discovery notes. Ask to populate all sections following a value-building structure.Formatted .docx ready for review.
Build an AI readiness reportFeed client intake data. Ask Claude to evaluate each identified process against your AI evaluation criteria.Scored report with candidacy verdicts per process.
Automate file organizationDescribe your folder naming convention. Ask Claude Code to reorganize a target directory to match.Renamed and moved files with a log of changes.
Build an AI agent configurationDescribe the workflow trigger, inputs, outputs, and decision logic. Ask Claude Code to generate the agent specification.Agent spec document plus configuration JSON.
Generate a web page or landing pageProvide your brand standards in CLAUDE.md. Describe the page purpose and sections needed.Fully styled single-file HTML ready to deploy.
Process and enrich prospect dataConnect a data source via MCP. Ask Claude to pull, clean, and format records as a structured CSV.Prospecting spreadsheet with enriched fields.
Automate PR reviews and CISet up GitHub Actions or GitLab CI/CD integration. Claude reviews code, triages issues, and opens PRs.Automated code review comments and pull requests.
Schedule recurring tasksUse /schedule to define a recurring task — nightly test runs, weekly dependency audits, or daily log analysis.Automated task execution on your defined cadence.

What Goes Wrong in Claude Code

TRAP 1
Running Claude Code with broad permissions directly in a production environment. Use a staging environment or isolated directory first. Review all proposed changes before accepting.
TRAP 2
Not maintaining a CLAUDE.md file. Without project memory, Claude makes inconsistent decisions about naming conventions, file structure, and output format across sessions. Run /init to generate one automatically.
TRAP 3
Using headless mode (-p flag) as a fire-and-forget operation. Always pipe output to a file and review it before treating the results as final or acting on them downstream.
TRAP 4
Defaulting to Opus for every task. Sonnet 4.6 handles most work at the same context window size (1M tokens) with faster response times. Haiku 4.5 handles file reads, simple transforms, and formatting at a fraction of the cost. Match the model to the complexity.

04

Cowork

Desktop App  |  macOS  |  Windows

Cowork is a research preview feature in the Claude Desktop app that brings agentic capabilities to knowledge work. Unlike Chat, which responds to individual prompts, Cowork handles complex multi-step tasks autonomously — reading and writing local files, coordinating sub-agents in parallel, and producing professional documents directly to your file system.

Available on Pro, Max, Team, and Enterprise plans. Requires the Claude Desktop app on macOS or Windows with an active internet connection. The desktop app must remain open during task execution.

What Cowork Can Do

Direct File Access

Reads and writes files on your computer without manual uploads or downloads. Output goes directly to your file system.

Sub-agent Coordination

Breaks complex work into subtasks and executes parallel workstreams. Multiple agents working simultaneously on different parts of a deliverable.

Professional Documents

Generates Excel spreadsheets with formulas, PowerPoint presentations, Word documents, and formatted PDFs — all production-ready.

Long-running Tasks

Works on extended projects without conversation timeouts. Step away and check back when the work is done.

Scheduled Tasks

Save tasks for on-demand or automatic execution on a recurring cadence. Automate repetitive knowledge work.

Mobile Assignment

Send tasks from your phone (Pro/Max) while your desktop executes them in the background. Start work from anywhere.

Cowork Execution Flow

  1. Describe your task in natural language. Provide any relevant files by selecting a workspace folder or uploading documents.
  2. Claude analyzes the request, creates a plan, and breaks the work into subtasks. You maintain visibility throughout and can provide mid-task direction.
  3. Claude executes code in an isolated virtual machine, coordinates parallel workstreams, and delivers outputs directly to your file system.
  4. Review the completed deliverables in your workspace folder. Iterate with follow-up instructions if needed.

When to Use Cowork vs Other Interfaces

  • Use Cowork when the task requires multiple steps, file system access, and professional document output — reports, presentations, data processing, batch content creation.
  • Use Chat for quick one-off questions, drafting, and conversational work where you want to iterate in real time.
  • Use Claude Code for software development, git workflows, codebase management, and building automation infrastructure.
  • Use Projects when you need persistent context across multiple sessions for the same client or workstream.

High-Value Workflows in Cowork

Use CaseHow to PromptExpected Output
Generate a formatted report from dataProvide source files in workspace. Describe the report structure and audience..docx or .xlsx with formatting, charts, and analysis.
Build a presentation deckDescribe the topic, audience, and slide count. Provide brand guidelines or templates..pptx with structured slides and speaker notes.
Process and organize filesDescribe your folder structure and naming convention. Point to the source directory.Reorganized file system with a log of changes.
Multi-document analysisUpload contracts, reports, or research papers. Ask for comparison, synthesis, or gap analysis.Structured analysis document with citations to source files.
Batch content creationProvide templates and a list of variations. Describe the output format.Multiple files generated in parallel to your workspace.
Client deliverable productionFeed discovery notes and brand guidelines. Ask for a complete deliverable package.Multiple formatted documents ready for client review.

What Goes Wrong in Cowork

TRAP 1
Not having the Desktop app open. Cowork requires the Claude Desktop app running on macOS or Windows. It does not work in the browser version of Claude.
TRAP 2
Expecting cross-session memory in standalone sessions. Memory is supported within Cowork Projects but is not retained across standalone sessions. Use Projects to persist context across tasks.
TRAP 3
Using Cowork for quick one-off questions. Chat is faster for simple drafting and Q&A. Cowork is designed for multi-step autonomous work where the overhead of planning and sub-agent coordination is justified.

Which Interface to Use

Use this table to route tasks to the right Claude interface. Using the wrong interface wastes context and produces weaker results.

Task Type Chat Power Features Claude Code Cowork
One-off drafting (email, post, summary)YESOverkillOverkillOverkill
Multi-session client engagementPartialYES (Projects)NoYES (Projects)
Deep competitive / market researchBasicYES (Deep Research)NoNo
Complex multi-variable reasoningBasicYES (Ext. Thinking)NoNo
Generating .docx / .xlsx / .pdfYESYESYES (batch)YES (formatted)
Building an AI agent or automationNoNoYESNo
Managing git and codebase changesNoNoYESNo
Live connections to Gmail / Notion / CRMNoYES (MCP)YES (MCP)YES (MCP)
Batch file operations and data processingNoNoYESYES
Training curriculum and SOPsYESYES (Projects)NoYES
Scheduled recurring tasksNoNoYESYES
Professional presentations / spreadsheetsPartialPartialNoYES

Which Model to Use

Claude Code and the API support three current models. Choosing the right one affects output quality, speed, and cost. Sonnet is the right default for most work.

Sonnet 4.6  Default

Context: 1M tokens  |  Max output: 64K tokens

Best for: The default for most tasks. Proposals, research, workflow builds, standard coding, and content generation. Supports Extended Thinking and Adaptive Thinking.

Avoid for: Sustained multi-hour agentic sessions where Opus's performance consistency matters more than speed.

Opus 4.6

Context: 1M tokens  |  Max output: 128K tokens

Best for: Complex agentic coding, deep multi-step reasoning, high-stakes analysis, sustained long-running tasks, and the max effort level. Supports Extended Thinking and Adaptive Thinking.

Avoid for: Routine file operations, simple formatting, quick first drafts. The cost premium is not justified.

Haiku 4.5

Context: 200K tokens  |  Max output: 64K tokens

Best for: High-volume batch operations, simple transforms, file reads, and speed-critical pipeline tasks. Now supports Extended Thinking for improved reasoning when needed.

Avoid for: Anything requiring nuanced judgment, complex reasoning, or client-facing output quality.


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