Frank, here’s how I’m wiring Tax Logic into a guaranteed‑growth system using Bitsing. Tax Logic is my framework for showing commercial real estate buyers the *true* after‑tax cash flow of a deal, not just the pro forma line items. It layers cost segregation, bonus depreciation, and other tax strategies into the underwriting so the listing tells the whole economic story and not just the pre‑tax one. On its own, that solves a big technical problem for brokers and investors. But I don’t want Tax Logic to be “just another clever spreadsheet.” I want it to be a predictable growth engine that wins listings, moves deals faster, and generates ongoing cost seg work. That’s where Bitsing comes in. Bitsing is a scientific growth method built around seven laws that let you *forecast* results in advance and connect every activity directly to continuity and revenue. It’s used by companies to design campaigns and strategies where each “bit” of effort can be justified financially, instead of guessing and hoping. [1][2] Here’s how I’m applying it to Tax Logic in CRE: - I define a clear Bitsing-style target: “X new broker relationships, Y Tax Logic overlays in offering memoranda, Z completed cost seg studies over the next 90 days,” all with a specific revenue outcome attached. - Every asset and touchpoint must earn its place against those numbers: outreach emails to brokers, Tax Logic OM pages, social posts, proof stacks from closed deals, educational content for LPs/GPs, follow‑up sequences, and referral asks. If it doesn’t move a measurable metric (awareness, trials, engagements, or revenue), it gets redesigned or cut. - I treat each automation and workflow as a “bit”: listing intake, tax overlay creation, broker briefing, OM insertion, buyer-facing explanation, and post‑closing cost seg proposal. The job is to align all those bits so they collectively hit the Bitsing targets instead of operating in isolation. This lines up perfectly with the way you think about AI systems, Frank: Bitsing provides the logic and constraints, Tax Logic provides the tax edge, and AI handles the execution at scale. Instead of “let’s create content,” the prompt becomes: “Given these Bitsing targets for Tax Logic, generate the minimum effective sequence of messages, proof, and automations required to mathematically hit them with brokers and their listings.”

I used to run a voice ai agency, (from 2023–) and we used vapi, sythflow, elevenlabs, and built our own truly agentic features on top, like memory, email, sms, scaled to 50k/mo but since we only worked with mid-market/growing companies, with 100+ employees, our cost per min became nearly unbearable. It became increasingly difficult to be profitable, stay price competitive with all of the new agencies, and acquire new customers at the same time. ...We decided to invest nearly everything we had into our own Voice AI platform so we could cut down our cost by 5x. To make it cheap, AND fast at the same time, we had to cut out every single middle man. Each white-label or outsourced layer increases latency, and of course COST. Even the biggest platforms like Vapi and Retell are white-labels. Vapi being a white-label of Pipecat, and Retell being a white-label of LiveKit. Not to mention other layers... - ElevenLabs TTS, - Deepgram ASR - + LLM All of which shoot up the price incredibly. ElevenLabs itself costs these platforms a minimum of 0.03/min So what we had to do is use our OWN TTS, a faster ASR and our OWN fine-tuned LLM. (the ASR being NVIDIA RIVA) The result: Voice AI at 0.03/min, that we offer to other agency owners so simply just profit 4x more with what you're already doing with Voice AI! ALSO our API is backwards compatible with nearly all voice AI platforms -so saving 4-5x on our voice ai bill is as easy as 1 line of code in your n8n automation.