Softsys Infotech delivers custom software, web and mobile development, and business application services to SMB clients — a market where pipeline depends heavily on organic search visibility, LinkedIn credibility, and current case studies. All of that content was written by the same senior engineers and founders who bill client hours.
Pcnet Infotech deployed Prompt2Publish — turning every content bottleneck into a 30–60 second machine step with a short engineer review. Billable hours returned, publishing cadence tripled, case studies shipped same week.
The tech_blog template takes an outline, keyword set, and target audience and returns a structured 1,000–1,200 word draft. The engineer's role shrinks to a technical-accuracy review pass. Review effort averages 15–20 minutes versus 4–6 hours of drafting. Blog output triples while senior hours return to delivery.
brand_facts.json encodes the service catalogue, technology stack, delivery model, and differentiators. The system prompt forbids invented benchmarks, statistics, and client names. Drafts arrive technically plausible on first pass — agency spend eliminated, rework loop closed.
The case_study template converts a delivery close-out summary (problem, solution, stack, outcome) into a draft the same day. Anonymised by default; client naming requires recorded consent. Approved case studies flow into the Q Business-searchable library for proposal reuse.
A single ingest brief fans out into a coordinated set: nurture emails, LinkedIn posts, and a landing-page section. S3 event-driven batch generation produces the full monthly kit in one unattended run. A complete monthly campaign kit is ready in under an hour of human effort.
All approved copy indexed by Amazon Q Business over the generated/ prefix. Proposal writers retrieve approved service descriptions and case-study paragraphs conversationally. Proposal assembly runs 40–50% faster on reusable, approved language.
Batch path: Campaign brief / monthly content calendar CSV → S3 ingest/ → S3 event → Lambda → Bedrock → S3 generated/
Privacy: Case studies anonymised by default; client naming requires recorded consent in the brief.
"Our engineers stopped moonlighting as copywriters. We feed project notes and keyword briefs in and review polished drafts out — the blog, LinkedIn, and email cadence finally runs like a delivery pipeline instead of a guilt list." — Co-founder, Softsys Infotech
| AWS Service | Purpose | Configuration |
|---|---|---|
| API Gateway | Secure ingress | p2p-softsys-api; IAM SigV4; HTTPS; 10 rps |
| AWS Lambda | Content generation | p2p-softsys-generator; Python 3.11; 512 MB |
| Amazon Bedrock | LLM inference | Claude 3 Haiku; temp 0.3 (case studies) – 0.7 (posts) |
| Amazon S3 | Templates & content | p2p-softsys-content; SSE; 90-day lifecycle on drafts/ |
| Amazon Q Business | Proposal content search | Indexed over generated/; 40–50% faster proposal assembly |
| CloudWatch + CloudTrail | Observability & audit | 30-day retention; $35/mo budget alarm |
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