AlliHat vs Deep Work Plan: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of AlliHat and Deep Work Plan — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
AlliHat
AlliHat
A Safari sidebar extension that integrates Claude, ChatGPT, Gemini and Apple's on-device model for page-aware Q&A and browsing assistance.
Key features
- Multi-Model Integration: Connects and switches between Claude, ChatGPT, Gemini, and Apple's on-device model directly from a Safari sidebar so users can compare outputs or choose a local/private model.
- Page-Aware Question Answering: Understands the content of the active webpage and answers questions in context without leaving the page, enabling fast fact checks and summaries tied to the current content.
- Highlight-to-Answer: Convert selected text into immediate queries or summaries — highlight any passage to get concise explanations, clarifications, or rewritten text.
- Automated Browsing Mode: Can follow links and browse pages on the user's behalf to gather information, synthesize findings, and produce consolidated summaries or action items.
- Inline Sidebar UI: Persistent, non-intrusive sidebar interface inside Safari that provides continuous access to assistants while keeping the browsing context visible.
- Privacy-Focused Option: Supports Apple's on-device AI for local processing when users prefer to keep data off cloud models, offering a privacy-friendly workflow.
- Integrates multiple providers: Claude, ChatGPT, Gemini, plus Apple's on-device model(s)
- Safari sidebar UI surfacing model responses alongside pages
- Page-aware question answering (use current page content as context)
- Highlight text to get instant, contextual answers or summaries
- Automated browsing mode that can follow links and collect context
- Option to leverage on-device models for local processing / privacy
- Supports switching between model providers within the sidebar
Best for
- Web Research and Summarization: Quickly summarize long articles or research pages and obtain concise takeaways without switching apps or copying content.
- Fact-Checking and Source-Based Q&A: Ask targeted questions about a page's content (e.g., verify claims, extract dates or figures) with answers grounded in the current page.
- Drafting Responses with Context: Compose email replies, comments, or notes that reference specific webpage content by using the sidebar to pull relevant passages and craft text.
- Information Aggregation: Use automated browsing to traverse related links, compile data from multiple pages, and produce a single consolidated report or summary.
- Model Comparison and Tuning: Compare outputs from Claude, ChatGPT, Gemini, and on-device models side-by-side to choose the best phrasing or perspective for a task.
- Quick Clarification while Reading: Highlight confusing paragraphs or technical passages to receive immediate, plain-language explanations without disrupting reading flow.
- Research and summarization of web pages without leaving the browser
- Quick inline answers by highlighting page text
- Assisted browsing where the tool follows links and aggregates information
- Content drafting or editing with contextual page references
- Customer support or knowledge work that needs page-specific LLM assistance
Deep Work Plan
Dailybot
Open-source, spec-driven methodology that turns any repo into a harness so coding agents finish long-horizon work.
Key features
- Spec-In-Repo Planning: Writes atomic tasks, acceptance criteria, validation gates, and resumable state directly into the repository as a durable plan.
- Drift Resistance: Keeps agents from losing context or abandoning multi-hour tasks by anchoring them to the plan as the source of truth.
- Resumable Long Runs: State survives context resets so any agent can pick up exactly where the previous one stopped.
- DWP-Verify: Produces an objective pass/fail report against the spec so AI-first completion is verified, not assumed.
- Agent-Agnostic: Works with Claude Code, Codex, Cursor, or any coding agent, with no lock-in.
- Open Source: Released under the MIT license and free to adopt in any repository.
Best for
- Large Migrations: Driving multi-file migrations to completion without the agent drifting or stalling.
- New Subsystems: Building a new subsystem against explicit acceptance criteria and validation gates.
- Cross-File Refactors: Coordinating refactors across dozens of files with a durable, resumable plan.