After 22+ days of proven operation, this system delivers clear competitive advantage at reasonable cost. The intelligence gathered has already surfaced opportunities worth far more than the monthly investment.
The Simple Explanation: Every morning at 4 AM, an AI agent (Claude Opus) wakes up, searches the internet for everything new happening in the AAC and assistive technology world, reads through dozens of sources, and writes you a professional intelligence briefing.
Think of it like hiring a really smart research analyst who works overnight, never sleeps, never gets sick, reads 50+ websites every single day, and delivers a polished report every morning highlighting what matters and what you should do about it.
The system monitors:
Each report includes not just news, but actionable opportunities — specific things we could do, why they matter, and concrete next steps.
Example Real Opportunity Identified: On Feb 10, the system flagged Google's Natively Adaptive Interfaces (NAI) framework — a new architectural approach to accessibility built on Gemini. This sparked an internal discussion with the team about implications and whether we could leverage it. Having early visibility on emerging frameworks gives us strategic optionality before they become industry standard.
Right now, staying on top of our industry requires someone to:
That takes 2-3 hours per day if done properly. And most companies don't do it properly — they rely on word-of-mouth, occasional Google searches, or just hope they stumble across important news.
The Risk of Not Doing This: Our competitors move first. A startup launches the feature we were "thinking about." A regulatory deadline catches us by surprise. A partnership opportunity closes before we even knew it existed.
This system solves that by automating the research and amplifying the analysis. It doesn't just find news — it understands what it means for us.
Let's be completely transparent about money:
| Item | Frequency | Unit Cost | Monthly Total |
|---|---|---|---|
| Daily Intelligence Reports Claude Opus generating comprehensive daily briefs |
30 per month | ~$1.10/report | $33 |
| Ad-Hoc Conversations Questions, follow-ups, analysis requests |
Variable | Depends on usage | $25-50 |
| System Heartbeats Background monitoring and maintenance |
~1,000/month | $0.005-0.01 each | $5-10 |
| VPS Hosting Website hosting on Hostinger |
Monthly | Flat rate | $10 |
| Domain Name dave-aac-auto-researcher.com |
Annual | $15/year | $1.25 |
| TOTAL MONTHLY COST: | $74-104 | ||
Option 1: Switch to Sonnet (Cheaper Model)
Using Claude Sonnet instead of Opus would cut AI costs by ~75%:
Trade-off: Slightly less sophisticated analysis. Still very good, just not quite as strategic.
Option 2: Reduce Frequency
Run reports every other day or 3× per week instead of daily:
Trade-off: Miss some time-sensitive opportunities.
Important Context: We're currently testing Opus at full daily frequency to see if the quality justifies the cost. After 30-60 days, we can make an informed decision: is the premium tier worth it, or should we optimize?
Let's compare to the alternative — hiring someone to do this work:
The Math:
Even if we valued research time at only $25/hour (entry-level), the system still saves $1,000+/month.
But here's the real value: It's not just about saving time. It's about seeing opportunities before competitors do. One well-timed product decision informed by this intel could be worth $50,000-$500,000+ in revenue.
Here's the recommended rollout plan:
Month 1 (Current):
Month 2:
Month 3:
Success Criteria (by Day 90):
If we hit 2 out of 3, it's working.
For $75-100/month (less than a nice dinner — Dave Edit: I thought this was hilarious. Not my choice of words, but I left it in. Great AI justification marketing talk.), we get:
The real question isn't "Can we afford this?"
It's: "Can we afford NOT to know what's happening in our industry?"
Recommendation: Approve a 90-day trial at full budget ($75-100/month)