The Solo Founder AI Agent Cost Forecasting Playbook

Model your workflow costs before building

Map every step of your AI workflow in Flowcost — input token counts, output sizes, model choices, and call frequency — to get a projected monthly cost before writing production code.

Add an API firewall to block runaway and malicious calls

Integrate Senthex with a single line of code into your LLM API calls to filter prompt injections, block runaway requests, and log every call for cost attribution.

Instrument LLM apps for real-time failure and cost diagnosis

Connect Kelet to your production LLM application to surface root causes of unexpected token spikes, failed completions, and retry storms before they generate meaningful overspend.

Evaluate cheaper fine-tuned models for your core tasks

Use the fine-tuning and evals platform to benchmark whether a fine-tuned smaller model matches your frontier model's quality on your specific use case. Document the cost-per-quality tradeoff.

Query total spend against runway in your terminal

Set up Ray to answer plain-language questions about your monthly AI costs versus your overall runway. Use it weekly to spot if AI spend is growing faster than revenue.