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Ami vs Codex: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Ami and Codex — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Ami logo

Ami

AiSDR

Paid

AI GTM agent that picks the audience, writes and launches outbound campaigns, reads the results and fixes what stops working.

Key features

  • Autonomous Campaign Loop: Ami picks the target audience, builds and launches the campaign, reads what comes back and changes what is not working, so each campaign sharpens the next without a human restarting the cycle.
  • Baked-In GTM Experience: Arrives with 27 industry playbooks and the lessons of 17,150 prior AiSDR campaigns and 19,501 meetings, so a first campaign launches with patterns other teams paid to learn.
  • Signal-Triggered Outreach: Watches hiring, funding and job-change signals and acts at the moment they happen rather than months later.
  • Performance Triage: When response rates slip, Ami digs into audience, message and sequence to pinpoint what is breaking and proposes fixes before the budget is spent — flagging, for example, a positive response rate under 1% after 21+ days.
  • Omnichannel Sequences: Configurable sequences combining email via Gmail or Outlook, LinkedIn connection requests, DMs and InMail, and AI call steps through the Aircall dialer with scripts and automated follow-ups.
  • Deep Per-Lead Personalization: Researches the top three most relevant data points per lead and personalizes from ICP data, activity, LinkedIn data and HubSpot properties.
  • Native CRM Sync: Two-way HubSpot sync on every plan and two-way Salesforce sync on higher tiers, with AI research and monitoring running over that CRM data.
  • Review Mode: Campaigns and Ami's proposed corrections stay drafts until approved, so the agent's autonomy is opt-in rather than assumed.

Best for

  • Founder-Led Outbound: A solo founder builds pipeline without hiring an SDR, starting self-serve with no sales call required.
  • Rescuing Stalled Campaigns: A revenue team catches a dying sequence early when Ami flags a collapsing positive-response rate and rewrites the audience or message.
  • Replacing Outbound Agencies: A company that has paid outside firms without results brings the motion in-house under one agent.
  • Warm-Signal Prospecting: A sales team reaches buyers right after a funding round, a relevant hire or a job change instead of cold-listing an industry.
  • CRM-Grounded Targeting: A HubSpot or Salesforce team has outreach built from and logged back into existing CRM data rather than a disconnected tool.
  • Multichannel Follow-Up: A team runs email, LinkedIn and dialer touches in a single sequence with replies handled in 5-10 minutes or in co-pilot mode.
View Ami details
Codex logo

Codex

OpenAI

Freemium

Cloud-based software engineering agent that runs parallel coding agents to write features, fix bugs, review code, and create pull requests.

Key features

  • Parallel Multi-Agent Execution: Launches many independent coding agents simultaneously to work on separate tasks across repositories, increasing throughput and enabling concurrent feature development.
  • Code Writing and Implementation: Generates new features, implements requested changes, and creates code across multiple languages based on prompts or repository context.
  • Automated Code Review and PR Generation: Reviews code changes, proposes diffs and pull requests, and surfaces suggested edits in a review interface for maintainers to accept or modify.
  • GitHub Integration: Connects to GitHub to browse repositories, read code context, create branches and pull requests, and link outputs directly to source control workflows.
  • Local CLI and IDE Extensions: Provides a Codex CLI for running the agent locally and IDE extensions for editors (e.g., VS Code) so developers can interact with Codex inside their development environment.
  • Cloud Environments and Sandboxing: Runs in sandboxed cloud environments by default (network access disabled) with documented options to configure internet access and environment settings for safe execution.
  • Enterprise Controls and Admin Setup: Supports workspace configuration and enterprise admin setup to manage access, policies, and repository permissions for organizational use.
  • Local CLI: install via npm (npm i -g @openai/codex) or homebrew (brew install codex) and run 'codex' locally
  • Cloud Web: Codex Web (chatgpt.com/codex) with GitHub repository connectivity and pull request creation
  • IDE Extensions: integrations for VS Code, Cursor, Windsurf (IDE plugin for in-editor workflows)
  • Multi-agent orchestration: deploy multiple agents to work on parallel coding tasks
  • Code review automation: generate, propose, and review changes with CI-style workflows
  • GitHub integration: connect GitHub account to read repositories and create PRs
  • Config and local settings: preferences stored in ~/.codex/config.toml
  • Sandboxed execution: default sandbox with network access disabled; cloud environments configurable for network/Internet access
  • Enterprise features: admin setup and workspace configuration for enterprise customers
  • Documentation and developer resources: dedicated docs, CLI quickstart, cloud environment guides, and changelog

Best for

  • Feature Development: Assign Codex agents to implement new features across multiple repositories or services, reducing developer time on boilerplate and repetitive tasks.
  • Automated Code Review: Use Codex to produce initial code reviews and suggested diffs for maintainers, accelerating PR feedback cycles and improving code quality.
  • Bug Fixing and Test Generation: Ask Codex to locate, diagnose, and propose fixes for bugs and to generate unit or integration tests based on repository context.
  • Codebase Q&A and Onboarding: Enable developers to ask Codex questions about unfamiliar codebases, architecture, or specific files to speed onboarding and troubleshooting.
  • Local and Editor Workflows: Run the Codex CLI or IDE extension to get quick patch suggestions, scaffolding, or interactive coding assistance directly in a developer's local environment.
  • Enterprise Collaboration: Deploy Codex within an enterprise workspace with admin controls to standardize agent use, integrate with internal repos, and enforce security policies.
  • Automated feature implementation across a codebase using parallel agents
  • Automated code review and pull-request generation for repository contributions
  • Interactive code assistance inside IDEs (generate code, explain code, fix bugs)
  • Local development workflows via CLI for offline or private usage
  • Enterprise deployment with admin-configured cloud environments and governance controls
View Codex details