DoMyWork
Summary
Most automation tools demand you learn their logic before they learn yours — you map nodes, configure triggers, and debug credential errors before a single task runs. Integrately's AI agent layer flips that: describe what you want in plain language, and it plans the steps.
The tool operates in two modes: Chat, where you issue a task and the agent executes it end-to-end, and Autopilot, where recurring tasks run on a schedule without you touching anything. Lead enrichment, competitor price tracking, and report generation are the documented sweet spots — tasks where the inputs are structured and the output format is predictable. The agent executes code and API calls autonomously, which means it handles multi-step sequences without a node-by-node canvas. The ceiling appears when tasks require complex conditional branching or when output quality depends on edge cases the agent hasn't been prompted to handle — at that point, teams fall back to manual prompt tuning or external scripting.
Bottom line: Integrately's agent mode earns its place for small teams running repeatable data tasks like lead enrichment or pricing snapshots — but teams whose workflows branch on unpredictable API responses will spend more time writing workaround prompts than they saved by skipping the canvas.
Pricing Plans
SubscriptionLast verified 2 days ago- Price
- $15.99/mo
- Free Tier
- 3,000 DoCredits, 500 DoCredits/day, 5 messages/day, Unlimited Playbooks, Standard Models
Boost
Free forever virtual assistant
- 3,000 DoCredits
- 500 DoCredits/day
- 5 messages/day
- Unlimited Playbooks
- Standard Models
Power
40 hr/month virtual assistant, billed annually (saves 20%)
- 20,000 DoCredits
- No daily limit
- 20 Event based Autopilots
- Unlimited scheduled Autopilots
- Unlimited Playbooks
- Premium Models
- Search
- Web Scrape Websites
- Browser Automation (Cloud)
Supercharge
80 hr/month virtual assistant, billed annually (saves 20%)
- 40,000 DoCredits
- No daily limit
- 100 Event based Autopilots
- Unlimited scheduled Autopilots
- Unlimited Playbooks
- Premium Models
- Search
- Web Scrape Websites
- Browser Automation (Cloud)
Ultra
250 hr/month virtual assistant, billed annually (saves 20%)
- 125,000 DoCredits
- No daily limit
- Unlimited Event based Autopilots
- Unlimited scheduled Autopilots
- Unlimited Playbooks
- Premium Models
- Search
- Web Scrape Websites
- Browser Automation (Cloud)
View full pricing on domywork.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Natural language task input means a marketing analyst can set up a lead enrichment Autopilot without writing a single line of configuration, so the tool stays usable without an automation engineer on call.
- Autopilot mode runs recurring tasks on a schedule autonomously, so competitive pricing reports and weekly data aggregations happen without anyone remembering to trigger them.
- Playbooks package tested workflows as reusable templates, so a task an ops manager debugged once can be handed to the whole team without re-explaining the setup.
- API access lets engineering teams trigger agent runs programmatically, so Integrately can sit inside a larger internal workflow rather than operating as a standalone island.
- Freemium entry tier with a credit allocation lets teams validate whether the agent handles their specific task before committing budget, so the evaluation risk is low.
Cons
Sign in to edit- Tasks that require branching based on what a previous step returned — 'if the scraped price is null, fall back to this secondary URL' — are not reliably handled by the agent's planner; teams end up iterating on prompt phrasing to approximate logic that a visual builder would express as a condition node, and the results are harder to audit.
- There is no self-hosted option, which means teams under data residency or compliance requirements — common in healthcare, finance, and enterprise procurement — cannot use this tool at all and move to self-hosted alternatives.
- Credit-based execution means high-volume or high-frequency Autopilots consume credits at a rate that is difficult to predict before a workflow runs at scale; teams running dozens of daily enrichment tasks report needing to upgrade to paid tiers sooner than the free allocation suggests.
- When the agent misinterprets a step — pulling the wrong field, hitting an unexpected page structure — the failure mode is a silent wrong answer rather than a visible error, so teams running unmonitored Autopilots on business-critical data need independent validation checks they have to build themselves.
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About
- Platforms
- Web-based, cloud-hosted
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-06-08T08:35:07.939Z
Best For
Who it's for
- Marketing teams handling lead enrichment
- Operations and SEO professionals managing data tasks
- Sales teams tracking competitor changes
- HR departments automating intake processes
- Small teams without dedicated automation engineers
What it does well
- Lead enrichment and outreach list building
- Daily competitive pricing monitoring and reporting
- Recurring data aggregation and report generation
- Incident response and onboarding automation
- Email list management and data synchronization across apps
Integrations
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Frequently Asked Questions
- Is DoMyWork free?
- DoMyWork is a paid tool ($15.99/mo). No permanent free tier is offered.
- Is DoMyWork open source?
- No — DoMyWork is a closed-source tool. Source code is not publicly available.
- Does DoMyWork have an API?
- Yes. DoMyWork exposes a developer API. See the official documentation at https://domywork.ai for details.
- What platforms does DoMyWork support?
- DoMyWork is available on: Web-based, cloud-hosted.
Hours Saved & ROI Stories Community
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Curated lists that include this category
Integrately offers an AI agent platform where users describe tasks in natural language — ‘pull LinkedIn profiles for this lead list and summarize their recent activity’ — and the agent plans, executes, and returns results without requiring the user to configure individual steps. The two primary interfaces are Chat mode for on-demand tasks and Autopilot mode for scheduled, recurring execution. Playbooks let teams package tested workflows as templates that can be handed off and reused across the organization.
The differentiating capability is autonomous multi-step execution: the agent handles API calls, web scraping, and code execution in a single run, rather than requiring the user to wire connectors between apps. For use cases like competitive pricing monitoring — where the task is ‘check these five URLs daily and flag price changes’ — this means the setup is a prompt, not a pipeline diagram.
The tool fits best where the task structure is predictable and the data sources are public or API-accessible: lead enrichment from LinkedIn, recurring aggregation from web sources, onboarding and incident-response checklists, email list synchronization. It fits less well when downstream logic needs to branch based on what the previous step returned — the agent can miss edge cases that a deterministic workflow would catch, and debugging a prompt is less transparent than inspecting a failed node in a visual builder. Teams whose automation work is primarily complex conditional routing across internal enterprise systems tend to outgrow this architecture.
No self-hosted deployment is available, which is a hard stop for teams with data residency requirements or policies against sending operational data to third-party infrastructure. An API is available for teams that want to trigger agent runs programmatically from their own systems.