Written by: Doug Camplejohn, CEO & Co-Founder, Coffee | Last updated: September 3, 2026
Key Takeaways for Sales Teams
- Day.ai uses a per-agent pricing model that charges separately for each AI agent deployed, which creates budgeting uncertainty as teams scale and add functions.
- Day.ai’s four plans (Free, Turbo, Professional, Executive) range from $0 to $200 per agent monthly, with skill slot limits that can trigger upgrades as capabilities expand.
- Hidden costs include multiplied agent fees for specialized functions, skill slot ceilings, and potential integration gaps with complex Salesforce or HubSpot requirements.
- Coffee’s seat-based model includes unlimited AI agent labor in every human seat, which removes per-agent math and keeps costs predictable as headcount grows.
- For sales teams that want transparent, scalable pricing without per-function fees, explore Coffee’s per-seat pricing.
How Day.ai’s Per-Agent Model Compares to Coffee’s Per-Seat Pricing
The pricing model you choose directly shapes how your AI costs grow over time.
Day.ai charges per AI agent deployed, so each AI worker you activate becomes a billable unit. Each agent receives specific skills, and the number of automated skill slots available depends on the plan tier. If you need agents for different functions such as sales outreach, marketing, and support, you pay for each one separately.
Coffee uses per-seat pricing. You pay for each human user on your team, and the AI agent’s unlimited labor is included in that seat. You avoid separate agent fees and skill slot calculations.
A useful analogy compares per-agent pricing to hiring contractors for each job. You pay separately for a plumber, an electrician, and a painter. Per-seat pricing resembles hiring one full-time employee who handles all three. The contractor model can work for a single, well-defined job. Costs rise quickly when the scope expands.
Sales teams that need AI support across prospecting, outreach, pipeline management, and meeting follow-up often see each function carry its own price tag under a per-agent model.
Day.ai Plans and Pricing Breakdown (2026)
Day.ai’s official pricing page lists four plans structured around per-agent billing:
| Plan | Monthly Price (per agent) | Annual Price (per agent) | Automated Skill Slots |
|---|---|---|---|
| Free | $0 | $0 | 0 |
| Turbo | $25 | $20 (20% savings) | 2 |
| Professional | $60 | $48 (20% savings) | 5 |
| Executive | $200 | $160 (20% savings) | 10 |
Day.ai states that its list price is the final price, so procurement negotiations or discounts are not available. The platform is also token-optimized for frontier models like Claude, designed to reduce token usage and pass savings to customers through predictable, packaged pricing with no overages.
Monthly Costs and the Impact of Agent Count
Based on Day.ai’s publicly listed pricing, the per-agent monthly costs break down as follows:
- Free: $0/month per agent
- Turbo: $25/month per agent (or $20/month with annual billing)
- Professional: $60/month per agent (or $48/month with annual billing)
- Executive: $200/month per agent (or $160/month with annual billing)
Annual billing delivers a 20% discount across all paid tiers. Team members without an active AI agent assigned can access basic features at no cost. These prices apply per AI agent deployed, not per human user. A five-person team that deploys three agents pays three times the per-agent rate, regardless of how many humans use the platform.
Annual vs. Monthly Billing: Savings for a Three-Agent Deployment
The 20% annual discount reduces ongoing costs, but it requires a full-year commitment. The table below shows estimated costs for a team deploying three agents across each billing cycle, based on Day.ai’s published pricing:
| Billing Cycle | Turbo (3 agents) | Professional (3 agents) | Executive (3 agents) |
|---|---|---|---|
| Monthly | $75/month | $180/month | $600/month |
| Annual (20% off) | $60/month | $144/month | $480/month |
| Annual Savings | $180/year | $432/year | $1,440/year |
Teams with a clear agent deployment strategy gain meaningful savings from annual billing. Teams still testing adoption often prefer monthly billing, which preserves flexibility at a 20% premium.
Hidden Costs and Limitations of Day.ai
Several structural factors can push Day.ai’s total cost of ownership above the headline per-agent rate.
- Skill slot ceilings. Each plan caps the number of automated skill slots an agent can use: 0 on Free, 2 on Turbo, 5 on Professional, and 10 on Executive. Teams that need agents to perform more functions than their plan allows face an upgrade decision or reduced agent capability.
- Multiplied costs for specialized agents. Because pricing is per agent, deploying separate agents for sales, marketing, and support means paying for each independently. A team running three specialized agents pays three times the per-agent rate before a single human seat is counted.
- Integration complexity with Salesforce and HubSpot. Day.ai’s architecture focuses on unstructured data such as emails, calls, and calendar context. Teams running Salesforce or HubSpot with complex requirements like quotas, forecasting, and required fields may encounter integration gaps that require additional tooling or workarounds. Coffee is built with a deep understanding of these integrations and handles both structured and unstructured data natively.
- Human costs remain. AI agents augment human reps rather than replace them. Per-agent fees stack on top of existing human headcount costs. Coffee’s seat-based model avoids this double-counting by bundling agent labor into each human seat, and you can explore how that works on Coffee’s pricing page.
Day.ai vs. Coffee: Pricing and Feature Differences
Coffee’s seat-based model includes the AI agent’s unlimited labor in every human seat, so teams avoid per-agent math as they grow. The comparison below reflects Coffee’s documented product capabilities and Day.ai’s publicly available feature set:
| Feature | Day.ai | Coffee |
|---|---|---|
| Pricing Model | Per AI agent deployed | Per human seat, agent labor included |
| Data Handling | Unstructured only (emails, calls, calendar) | Structured and unstructured |
| Salesforce/HubSpot Integration | Limited for complex requirements | Deep; built for quotas, forecasting, required fields |
| Visitor Identification | Not included | Included (with Suggested Leads) |
| Lead Finder (prospecting database) | Not included | Included |
| Campaigns (outreach sequencing) | Not included | Included |
| Pipeline Intelligence | Basic | Advanced (Pipeline Compare) |
Beyond the feature comparison, Coffee tackles a problem that affects every CRM: 71% of sales reps spend too much time on data entry, which leaves only 35% of their time for actual selling. Coffee’s agent removes that burden by automatically creating contacts, logging activities, and enriching records from emails and calendars. This automation saves reps an estimated 8–12 hours per week.
Real-World Cost Scenarios for Day.ai and Coffee
The per-agent model’s cost implications become clearest when mapped to specific team configurations. Day.ai cost estimates below come from Day.ai’s published per-agent pricing, and Coffee pricing reflects its per-seat model.
| Scenario | Day.ai Estimated Monthly Cost | Coffee Estimated Monthly Cost |
|---|---|---|
| 5-person SDR team | 2 agents × ~$50–$200/month = ~$100–$400/month | 5 seats × Coffee per-seat rate |
| 20-person sales org | 5 agents × ~$50–$200/month = ~$250–$1,000/month | 20 seats × Coffee per-seat rate |
| Founder-led startup (3 users) | 1–2 agents × ~$25–$50/month = ~$25–$100/month | 3 seats × Coffee per-seat rate |
Very small teams that deploy a single agent for a single function may find Day.ai’s entry-level pricing competitive. As team size grows and functional requirements expand across prospecting, outreach sequencing, pipeline tracking, and meeting intelligence, the number of required agents multiplies and the bill follows. Coffee’s per-seat model grows with your headcount and keeps pricing tied to people rather than to the number of AI functions.
Frequently Asked Questions
How much does Day.ai cost per month?
Day.ai charges per AI agent deployed, not per human user. The Free plan costs $0 with no automated skill slots. The Turbo plan costs $25 per agent per month (or $20 with annual billing). The Professional plan is $60 per agent per month ($48 annually). The Executive plan is $200 per agent per month ($160 annually). Total monthly costs depend on how many agents your team deploys and which plan tier each agent requires.
What is the difference between per-agent and per-seat pricing?
Per-agent pricing charges for each AI worker you activate. If you need three AI agents handling different functions such as sales, marketing, and support, you pay three separate agent fees. Per-seat pricing charges for each human user on the platform, with the AI agent’s labor included in that seat cost. Per-seat pricing scales predictably with headcount, while per-agent pricing scales with the number of AI functions you deploy, which can grow faster than your team does.
Does Day.ai offer a free trial?
Day.ai offers a permanent Free plan rather than a time-limited trial. The Free plan includes Gmail and calendar ingestion, meeting recording clips, contact creation, and workspace context notes. It includes zero automated skill slots, so the agent cannot perform automated tasks without an upgrade to a paid tier.
Are there hidden costs with Day.ai?
The per-agent model itself is the primary source of cost unpredictability. Each plan caps automated skill slots, so agents that need to perform more functions than the plan allows require an upgrade. Teams that need specialized agents for different departments pay per agent for each one. Additionally, Day.ai’s focus on unstructured data means teams with complex Salesforce or HubSpot requirements such as quotas, forecasting, and required fields may need supplemental tooling to fill integration gaps, which adds to total cost of ownership.
Which is cheaper for a small team: Day.ai or Coffee?
For a very small team that deploys a single agent for one function, Day.ai’s Turbo plan at $25 per agent per month can appear cost-effective. As soon as a team needs multiple AI functions such as prospecting, outreach sequencing, pipeline intelligence, and meeting follow-up, the number of agents required increases and costs multiply. Coffee’s per-seat model includes all of those capabilities in a single seat, which keeps total cost of ownership more predictable as the team’s needs expand. The right choice depends on how many AI functions your team needs, not just how many humans are on the team.
Conclusion: Choosing a Pricing Model That Scales With You
Day.ai’s per-agent pricing model introduces a layer of complexity that traditional per-seat buyers rarely navigate. You pay per AI agent deployed, per skill slot tier, and per function, and those costs compound as your team’s needs grow. Teams that need a single agent handling a narrow set of tasks may find the model workable. Sales organizations that need AI assistance across the full revenue workflow often see the math become unpredictable.
Coffee’s seat-based model follows a different premise. You pay for your human team, and the agent’s unlimited labor for data entry, meeting intelligence, pipeline tracking, prospecting, outreach sequencing, and visitor identification is included in that price. Coffee’s model removes agent deployment decisions, skill slot ceilings, and per-function fees because all of those elements are bundled into the per-seat price.
Sales leaders, RevOps managers, and founders evaluating AI sales assistants in 2026 benefit from calculating total cost of ownership across all the AI functions their team needs, not just the headline per-agent rate. When that full picture comes into view, the pricing model matters as much as the feature set.
Compare your total cost of ownership with Coffee.
