i-have-adhd vs Sai: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of i-have-adhd and Sai — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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i-have-adhd
ayghri
Coding-agent skill that forces action-first, numbered answers — kills the 'Great question! Let me think...' preamble in Claude Code, Codex, and friends.
Key features
- Action-First Output Rule: Every response leads with the next concrete action instead of preamble.
- Numbered Multi-Step Tasks: Coding tasks come back as numbered lists capped at 5 items each.
- Preamble & Closer Suppression: Eliminates 'Great question!', 'Hope this helps', and other filler.
- Specific Time Estimates: Forces the agent to answer with minutes rather than vague 'a bit' phrasing.
- One-Command Install: /i-have-adhd in Claude Code, $i-have-adhd in Codex, or persistent activation via ~/.claude/.i-have-adhd.
- Auto-Update in Claude Code: Claude Code fetches the skill from GitHub and keeps it up to date — no local clone needed.
- Multi-Language Skill Docs: README available in English, Simplified Chinese, Japanese, Korean, Vietnamese, and Portuguese (BR).
- Fork-and-Tune: Copy skills/i-have-adhd/SKILL.md, edit the 10 rules to taste, restart the agent, and re-invoke.
Best for
- Reduce Preamble Fatigue: Developers who lose time scanning past 'Great question!' openings get straight-to-the-point agent output.
- ADHD-Friendly Workflow: Neurodivergent developers get responses formatted the way their attention can actually consume.
- Terminal-First Sessions: Users driving Claude Code or Codex from a terminal want short, numbered instructions rather than essays.
- Team Style Standard: Teams adopt the skill so every developer's coding agent responds in the same terse format.
- Custom Response Rules: Fork the SKILL.md and hand-tune the 10 rules to fit an internal engineering culture or accessibility need.
Sai
Simular Inc.
A computer-use agent that operates a fleet of cloud or local computers, clicking and typing through real apps to finish recurring screen work.
Key features
- Autonomous Computer Fleet: Runs tasks on dedicated Windows or Linux cloud VMs — up to five at once on paid plans — so work continues after you close your laptop, or on your own Mac or Windows device with no computer-time cost.
- Real Interface Control: Clicks and types through browsers and native desktop apps exactly as a person would, so Sai works with existing software without APIs, connectors, or per-app integrations.
- Teach-Once Workflows: Describe a task in plain language and Sai builds a reusable workflow that it can replay on a schedule, becoming more reliable and cheaper on every subsequent run.
- Neurosymbolic Agent S Engine: Built on Simular's open-source Agent S computer-use framework — an ICLR Agentic AI workshop Best Paper — which the company reports cuts agent token usage by over 90% on long-horizon reasoning.
- OSWorld-Topping Performance: Ranked first on OSWorld, the benchmark for agents operating real computers, leading on both task capability and cost efficiency.
- Simulang Scripting: An open-source scripting language for computer control that automates browsers, native applications, and OS-level workflows for developers who want code-level repeatability.
- Transparent Execution with Guardrails: Every action is visible as it happens and constrained by built-in safety guardrails, so unattended runs stay auditable.
- Enterprise Deployment: SSO, RBAC, SOC 2, managed scaling, custom integrations, and SLAs for organizations running high volumes of repetitive computer work, including Windows 365 for Agents.
Best for
- Recurring Back-Office Tasks: Rebuilding the same weekly report or running a Monday-morning process across several tools that do not talk to each other.
- Sales Operations: Updating CRM records, researching prospects, and pulling together account information across web apps without manual data entry.
- Finance Workflows: Moving invoice, reconciliation, and reporting steps between accounting software and spreadsheets on a fixed schedule.
- Legacy Software Automation: Driving desktop or internal applications that expose no API, where screen-level control is the only integration path.
- Marketing Operations: Collecting campaign data, updating listings, and repeating publishing steps across multiple platforms.
- Developer Research: Using the open-source Agent S framework and Simulang to build and benchmark custom computer-use agents.