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AI
February 13, 2026
8 minutes read
Intent Engineering in AI: The Shift Beyond Context Engineering
Intent Engineering in AI is the structured design of AI systems around goals, constraints, and measurable outcomes beyond prompts and context.
CTO & Co-founder at Tericsoft
Anand Reddy KS
CTO & Co-founder at Tericsoft
Intent Engineering in AI: The Shift Beyond Context Engineering

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MVP
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Minimum Viable Experience (MVE): Build Customer Experience
Minimum Viable Experience (MVE) helps validate emotional resonance alongside MVP, reducing churn by 45% & increasing activation by 42%.
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MVP Development Timeline shows how startups go from idea to launch in 4–8 weeks. Learn key phases, cost factors, & how to reduce build time by 60%.
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Top 10 MVP Examples That Turned Out To Be Global Successes
Top 10 MVP Examples • 1. Dropbox • 2. Airbnb • 3. Uber • 4. Amazon • 5. Zappos • 6. Buffer • 7. Product Hunt • 8. Pebble • 9. Groupon • 10. Spotify.
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MVP
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MVP accelerates launches & cuts risks by validating ideas early. Agile Software Development keeps startups fast & focused on building what users need.
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DevOps
August 25, 2025
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Solving Security Issues in Lovable Built Apps Using DevOps
One client faced security issues in Lovable Built Apps, so we crafted a solution using our DevOps Services to ensure safer deployments & data integrity.
DevOps Engineer at Tericsoft
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AI
August 18, 2025
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What Is Model Context Protocol & How Does It Work in LLMs?
Model Context Protocol in LLMs boosts efficiency by structuring memory, reducing token load & enabling faster responses with multi-agent coordination.
CTO & Co-founder at Tericsoft
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CTO & Co-founder at Tericsoft
AI
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Liquid LLM: Overnight Self‑Improving AI for a 24‑Hour Economy
Liquid LLM offers adaptive, self-improving AI that will learn overnight, cutting costs & addressing drift, reshaping chatbots, pipelines & recommendations.
CTO & Co-founder at Tericsoft
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