dolv
dolv is an AI-native, grounded command center for go-to-market teams that connects to your existing stack, executes real work with human-in-the-loop approvals, and measures outcomes in a unified full-funnel view.
https://dolv.work/?ref=producthunt
Product Information
Updated:Aug 15, 2026
What is dolv
dolv is an agentic AI GTM platform designed to help operators, founders, and lean growth teams ship campaigns, outreach, content, and CRM work—not just talk about it. Running in the browser, it connects to your existing tools (e.g., Google Workspace, Microsoft 365, analytics, ads, social, and publishing) and uses “grounded AI” to keep actions and outputs aligned with your company context, playbooks, and knowledge. Instead of producing a to-do list, dolv prepares and executes tasks across your stack and ties the results back to measurable funnel performance.
Key Features of dolv
dolv is an AI-native command center for go-to-market teams that connects to your existing tool stack, uses grounded AI agents to execute real work (campaigns, outreach, CRM updates, content ops), and then measures outcomes in a unified TOFU/MOFU/BOFU funnel. It’s designed to be an operator—not a chatbot—using read/write integrations and a human-in-the-loop approvals flow for external or irreversible actions, while continuously attributing and correlating results to show what actually moved pipeline.
Grounded AI command center: Chat-based assistant with ~84 callable tools that can draft and queue work across email, LinkedIn, WordPress, calendar, Docs/Sheets—grounded in your company context (profile, playbooks, knowledge) by default.
Human-in-the-loop approvals: High-stakes external actions are prepared and routed to an Approvals inbox (prepare → approve → executing → done), so you stay in control while dolv handles the busywork.
No-code workflow builder: Drag-and-drop workflows with triggers, tool steps, agent steps, branching logic, code blocks, per-step tests, approval gates, and full run traces for auditing.
Multi-agent campaigns orchestration: A “Director” agent coordinates multiple specialized agents (parallel or sequential) and synthesizes a single deliverable; designed to be OKR-aware from the brief.
Funnel intelligence + measurement: Maps live metrics into a unified TOFU/MOFU/BOFU funnel, scored against a rolling 30-day baseline (weighted composite health), with correlation insights and multi-touch attribution across multiple models.
Read-and-write integrations across your stack: Connects ~30 two-way integrations (e.g., Google Workspace, Microsoft 365, GA4, Search Console, Ahrefs, LinkedIn, WordPress, ads/social) so dolv can both pull data and push execution back into the tools you already use.
Use Cases of dolv
B2B SaaS demand gen execution: Run and iterate full-funnel campaigns (email + LinkedIn + content), route sends through approvals, and track what moved pipeline using correlation and multi-touch attribution.
Agency client operations at scale: Standardize repeatable delivery via no-code workflows (content production, outreach sequences, reporting), maintain audit trails, and keep client-facing actions gated by approvals.
Lean startup GTM command center: Founders and small teams can connect their stack and offload execution (drafting posts, updating CRM, scheduling, publishing) while keeping control over irreversible actions.
Ecommerce growth + content pipeline: Coordinate SEO/content workflows (draft in Docs, queue/publish to WordPress, measure impact via analytics), and tie channel activity back to funnel health over time.
RevOps / growth team funnel diagnostics: Unify metrics across tools into TOFU/MOFU/BOFU views, benchmark against a rolling baseline, and identify which activities correlate with performance changes to prioritize experiments.
Pros
Executes real work via read/write integrations (not just recommendations), reducing manual GTM ops.
Human-in-the-loop approvals help prevent risky outbound actions while still enabling automation.
Outcome measurement is built-in with unified funnel views, correlations, and multi-touch attribution.
Cons
Value depends on connecting and maintaining integrations; limited stack connectivity reduces impact.
Approval gating can add friction for teams seeking fully autonomous execution.
Advanced features (workflows, attribution, OKRs/experiments) may require process maturity to use well.
How to Use dolv
1) Open dolv in your browser: Go to https://app.dolv.work/ (dolv runs in the browser—nothing to install).
2) Sign in and start your workspace: Create/sign into your dolv account, then enter the app workspace where you’ll connect tools, run work, and review approvals.
3) Connect your stack (integrations): In Integrations, connect the tools you already use so dolv can both read metrics and write actions back into them (read-and-write integrations). Examples mentioned include Google Workspace (Gmail, Calendar, Drive, Docs, Sheets), Microsoft 365 (Outlook, Teams, OneDrive, Excel), analytics (Google Analytics 4, Search Console), and publishing/outreach tools like WordPress and LinkedIn.
4) Point dolv at your company context (stay grounded): Add or link your company profile, playbooks, and knowledge so dolv’s answers and actions are grounded in your business context (not generic output).
5) Choose how you want to run work (chat, workflows, or campaigns): Pick an execution mode: (a) use the Grounded AI command center (chat assistant with callable tools) to execute tasks, (b) use the no-code Workflow Builder for repeatable processes with branching and tests, or (c) run multi-agent campaigns where a Director agent orchestrates member agents into one deliverable.
6) Start with a concrete outcome: Give dolv a clear goal (e.g., draft outreach, prepare a campaign, update CRM records, draft/publish content, schedule calendar work). dolv will plan steps and prepare actions across your connected tools.
7) Review prepared actions before anything irreversible happens: For external or irreversible actions, dolv prepares the work first and queues it for your review rather than executing immediately.
8) Use the Approvals inbox (human-in-the-loop): Open the Approvals inbox and follow the loop: prepare → approve → executing → done. Approve only what you want to ship; internal/non-irreversible actions may run immediately.
9) Execute and ship work across your tools: After approval, dolv executes the action in the connected system (e.g., draft/queue email and LinkedIn outreach, create/update Docs/Sheets, schedule Calendar items, publish to WordPress, or perform CRM updates).
10) Configure agents when you need repeatable operators: Create/configure agents by setting their role and prompt, selecting which integrations they can use, and enabling auditing via run history. Use budget caps (noted as a default $250/month) to control spend.
11) Build repeatable workflows with gates and traces: In the Workflow Builder, assemble a drag-and-drop flow with triggers, tool steps, agent steps, conditions, optional code, and human approval gates. Use per-step tests and review the full trace of each run to debug and improve.
12) Measure outcomes in the unified funnel: Check Funnel Intelligence to see results mapped into a unified TOFU/MOFU/BOFU funnel view, scored against a rolling 30-day baseline, so you can track whether the shipped work moved the funnel.
13) Use correlation and attribution to learn what worked: Review correlation insights to identify which actions/metrics actually moved pipeline, and use multi-touch attribution models to credit touches across channels.
14) Run experiments and track goals (NSM/OKRs/ICE): Define a North Star Metric and ladder OKRs beneath it. Validate ICE experiments using dolv’s experiment measurement approach (noted as using a two-proportion z-test) to decide what to scale.
15) Iterate: double down on winners and automate the rest: Based on funnel measurement, correlation, and attribution, refine prompts/agents/workflows, rerun campaigns, and standardize repeatable motions so dolv can keep executing with approvals where needed.
dolv FAQs
dolv is an AI-native command center for go-to-market teams that connects your existing tools, executes real work (like campaigns, CRM updates, outreach and content), and measures outcomes in a unified funnel with human-in-the-loop control.
dolv Video
Popular Articles
Atoms: A Multi-Agent AI Platform That Transforms Ideas into Launch-Ready Products
May 22, 2026
Nano Banana SBTI: What It Is, How It Works, and How to Use It in 2026
Apr 15, 2026
Atoms Review — The AI Product Builder Redefining Digital Creation in 2026
Apr 10, 2026
Kilo Claw: How to Deploy and Use a True "Do‑It‑For‑You" AI Agent(2026 Update)
Apr 3, 2026
Latest AI Tools Similar to dolv
invoices.dev
invoices.dev is an automated invoicing platform that generates invoices directly from developers' Git commits, with integration capabilities for GitHub, Slack, Linear, and Google services.
Monyble
Monyble is a no-code AI platform that enables users to launch AI tools and projects within 60 seconds without requiring technical expertise.
Devozy.ai
Devozy.ai is an AI-powered developer self-service platform that combines Agile project management, DevSecOps, multi-cloud infrastructure management, and IT service management into a unified solution for accelerating software delivery.
Mediatr
MediatR is a popular open-source .NET library that implements the Mediator pattern to provide simple and flexible request/response handling, command processing, and event notifications while promoting loose coupling between application components.
Popular AI Tools Like dolv
Launch
Launch is an AI-powered platform that enables users to build full-stack applications instantly while providing comprehensive tools for product launches, entrepreneurship programs, and customer acquisition.
GitHub Copilot Chat
GitHub Copilot Chat is an AI-powered coding assistant that provides natural language interactions, real-time code suggestions, and contextual support directly within supported IDEs and GitHub.com.
Rememberall
Rememberall is a secure, open-source long-term memory solution that enables AI applications and GPT models to maintain persistent memory across conversations through semantic search and vector storage capabilities.
Upsonic
Upsonic is a reliability-focused AI agent framework with dockerized server-client architecture that enables trusted agent workflows through advanced features like verification layers, triangular architecture, and Model Context Protocol (MCP) integration.