Hey guys 👋 my names Dan..I’m the owner of A7 Technology Services. We need a contractor to come build with us. We’re deploying AI infrastructure for clients in National Defense, law, healthcare, content creation, real estate, and more so this isn’t hobby stuff. Real systems, real compliance requirements, real accountability. What we’re building: ∙ Automations across N8N, Make, Zapier, and Power Automate ∙ Agentic workflows and AI assistants built with Claude Code ∙ AI assistants and agents across client stacks ∙ Knowledge graphs — if nodes and edges genuinely interest you and you get why they turn agents into probabilistic reasoning machines, we need to talk ∙ Context and prompt engineering done right What you need to bring: ∙ Client delivery experience — you’ve shipped for someone other than yourself ∙ Solid understanding of PIPEDA and PII handling — non-negotiable given our client base ∙ Comfort in ambiguity — we’ll teach our specific stack, but you need the fundamentals cold ∙ Quality and reliability aren’t buzzwords here — most of our clients have been with us for several years. You’re stepping into relationships that matter Bonus if you know: ∙ ClickUp, MCPs, ETL pipelines, context engineering principles What you get: ∙ Flat monthly contract starts light as you get comfortable with our client base, then ramps up as trust is built ∙ Exposure to some of the most interesting regulated-industry AI work being done right now ∙ A real system to plug into and if you’re the right person, a long runway ahead DM me or drop a comment

I used to spend 4+ hours per proposal. Research the industry. Build pricing tables. Write ROI calculations. Format everything. Then I realized something that changed everything. The proposals that closed had one thing in common. They proved I understood the client's business better than they expected. Not with generic claims. With specific data. → Market size for their industry. → Competitor analysis. → Benchmarks for their vertical. → Custom projections using their actual numbers. But here's the problem: This level of research takes forever. Most consultants skip it. They use templates. They change the company name. They call it "customized." And they wonder why 50% of prospects ghost. The proposals that get signed aren't the prettiest. They're the ones that show you actually did the homework. Here's what I discovered works: Every proposal needs these 5 research components: 1. Market Intelligence ↳ How many companies exist in their target market → Breakdown by geography, size, industry → Total addressable market calculation 2. Competitive Landscape ↳ Who else serves their audience → What positioning angles differentiate you → Where competitors are weak 3. Industry Benchmarks ↳ Typical reply rates for their vertical → Conversion rates by industry → Performance expectations 4. Pain Point Research ↳ What challenges their buyers actually face → How your solution maps to those problems → Why other solutions fall short 5. Custom Projections ↳ Realistic lead volume calculations → ROI math using their deal sizes → Timeline to break even When your proposal includes all 5: You stop competing on price. You start competing on expertise. Prospects choose the consultant who clearly understands their market. Even if you're more expensive. The bottleneck is time. Doing this research manually takes 3 to 4 hours per proposal. If you're doing 10 discovery calls per month, that's 30 to 40 hours just writing proposals. So I automated the entire process. Now the research happens automatically.