Make Agent Fast· No-code AI customer service agent builder
Build AI customer service agents fast, without code.
AI & Machine Learning·Productivity·Customer Support
What is Make Agent Fast?
Make Agent Fast is a no-code AI customer service agent builder.
Make Agent Fast is a no-code platform for building customer-facing AI agents from your website, documents, and approved business knowledge. Teams can use agents to answer support questions, handle sales enquiries, capture requests, and support booking workflows, with human handoff when needed. Deploy agents on your website and supported messaging channels. Messaging, voice, and advanced capabilities vary by plan. Launch and Operate plans include a seven-day trial with no card required.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Firebase costs us about $700 a month all the business text messages we send is about $2,500 a month we use Revenue Cat for subscriptions in the iOS app that's 1% of revenue Apple Search Ads currently we're spending about $500 a month... we're spending about $200 a month on Claude Code we use Chat GPT for email content and that's about $20 a month.
Run A $500K ARR Restaurant SaaS On Roughly $4K Of Monthly Fixed Costs
Weightley does over $500K ARR with a stack that totals roughly $3.5-4K/month in fixed costs plus revenue-share fees (RevenueCat 1%, Stripe 3%). The biggest line is SMS at $2,500/month — directly tied to product value — while everything else (project management, support, surveys) costs $20-40/month each. Solo founder margins compound on this stack.
If you can look at metrics and KPIs and your performance across these two separate platforms or other platforms you'll notice that the behavior is very different no one solution fits all users.
Split iOS/Android KPIs — Platform Behaviour Differences Are Not a Rounding Error
Tammy's first principle: analyse iOS and Android as entirely separate products. User behaviour, willingness to pay, preferred SKUs, and retention curves diverge meaningfully by platform. Blending them into a single dashboard hides which strategies actually work where. Platform-specific funnels are prerequisite to platform-specific monetization optimisation.
There's a play for whatever you're stuck on.
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