FAQ
Frequently asked questions
Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.
How does the AI workforce handle technical proposal writing without introducing errors?
The AI CTO and AI Researcher draft proposals based on your agency's past successful proposals, technology stack preferences, and project patterns. They produce architecture overviews, timeline estimates, and technology recommendations that are informed by your real project data. Every proposal goes through a senior developer review before submission — the AI handles the 80 percent heavy lifting of drafting and structuring, and your experts validate the 20 percent that requires judgment and client-specific nuance. The result is faster proposals with lower error rates because the AI never forgets a dependency or underestimates integration complexity.
Can the AI workforce support multiple technology stacks and project types?
Absolutely. During onboarding, you define your agency's technology specializations — frontend frameworks, backend languages, cloud platforms, mobile technologies, and any niche expertise. The AI team learns the vocabulary, best practices, and common patterns for each stack. It can write proposals, case studies, and technical content across all your service areas. Agencies with diverse technology practices find this particularly valuable because the AI maintains quality across domains that no single human could cover as deeply.
How does this compare to hiring a dedicated sales engineer or technical writer?
A senior sales engineer costs $150K–200K per year plus equity and benefits. A technical writer costs $80K–120K. Together with a project coordinator, you're looking at $300K+ in annual overhead. Tycoon's AI workforce provides equivalent functional output across sales engineering, technical content, project coordination, and research for a fraction of that cost — and it works 24/7 without PTO, turnover risk, or management overhead. Most dev agencies find that one AI workforce subscription replaces 2–3 full-time non-billable roles.
Will the AI workforce understand the nuance of our client relationships and project context?
Yes, and it improves over time. The AI workforce ingests your agency's project history, client communication patterns, and delivery documentation during onboarding. It learns each client's communication preferences, technical sophistication, and relationship history. For high-stakes communications — sensitive client conversations, major scope change discussions — the AI prepares drafts and recommendations, but final delivery remains human-led. For routine communications — status updates, scheduling, deliverable reminders — the AI handles them autonomously with full context.
What size development agency benefits most from Tycoon?
Agencies between 5 and 50 people see the most dramatic ROI because that's the size range where the senior talent bottleneck is most acute. At 5 people, the founders are doing everything non-billable. At 50 people, you have overhead roles but they're constantly overloaded as the agency scales. Tycoon helps both scenarios: smaller agencies get the functional equivalent of a business development and operations team they can't afford yet; larger agencies improve margin by handling increased volume without proportional overhead growth.
How does the AI workforce support agile and sprint-based delivery models?
The AI COO integrates directly with your sprint management tools. It monitors velocity trends, tracks sprint completion rates, and surfaces patterns — like which types of stories consistently blow estimates or which clients generate scope creep. It generates sprint review summaries and retrospective prompts. The AI doesn't replace your Scrum Master or delivery manager; it amplifies them by handling the data gathering, reporting, and pattern recognition so they can focus on coaching, facilitation, and removing blockers.