Before
Supply work depended on scattered manual handoffs.
Intervention
Modeled crop, order, and fulfillment flows into one product path.
Outcome
Operators got a clearer workflow across real supply-chain steps.
Senior engineering for live systems.
Ask Prometheus what to fix first.
Modernisation, MCP tooling, production AI, and scale fixes for teams that need useful answers before a sales call.
Prompt-first diagnosis
No signupTell Prometheus where the system is stuck.
Ask about platform debt, MCP servers, AI workflows, scaling issues, Cloudflare architecture, or startup MVP tradeoffs. The answer will map the likely engagement path and first practical move.
The pressure
The system has to move.
No grand rewrite. Improve the product people already use.
What we look for
The expensive part is rarely the code alone.
It is the release path, the unclear ownership, the missing contracts, and the places where every change has to be negotiated twice.
The platform slows every product decision
Architecture debt turns simple changes into negotiation.
Scale pressure is no longer theoretical
Latency, queue drift, cloud spend, and incidents are visible.
AI work is stuck outside the product
Useful agents need contracts, auth, evals, and review paths.
The team cannot pause delivery
The answer has to work beside maintenance and roadmap work.
Focus areas
Choose the constraint worth moving first.
The work starts where platform risk, team pressure, and business urgency overlap.
Modernisation
Risk map to release plan
MCP development
Tool contracts with auth
Scaling
Cost and latency fixes
Platform modernisation
Refactor the live platform
Untangle the parts that block delivery, then release improvements in controlled slices.
MCP development
Ship MCP tools with product boundaries
Build MCP servers, tool APIs, auth checks, and telemetry that fit the way your product actually works.
Scaling issue resolution
Stabilise performance and cost curves
Trace slow paths, brittle jobs, cache misses, and cloud waste. Fix what changes the operating curve.
Agentic AI systems
Turn AI into reviewed workflows
Connect models to data, tools, approvals, and operations with stable inputs and checked outputs.
Team enablement
Raise the engineering operating standard
Give the team practical patterns, review loops, and AI coding workflows they can keep using.
Process
A controlled way to change a live system.
Evidence first. Small releases. Clear ownership.
Diagnose
Map the constraints, failure modes, cost pressure, and delivery dependencies.
Evidence before opinion
Frame
Turn the diagnosis into a release path the product team can actually absorb.
Architecture as a sequence
Build
Ship bounded changes across the platform, MCP tooling, AI workflows, and infra.
Small releases, visible impact
Enable
Document the operating model, train the team, and hand over ownership cleanly.
No hidden dependency
Outcomes
Premium work should lower the operating load.
Delivery, reliability, cost, ownership, and AI safety have to improve together.
Delivery gets lighter
No delivery freeze
Modernisation proceeds beside the roadmap.
Cleaner contracts
Boundaries become explicit enough to test and change.
MCP-ready tools
Agents get safe access to the right systems.
Production AI
Prompts, tools, evals, review, and monitoring work together.
Operations get clearer
Less scaling pressure
Slow paths, incidents, and cost growth get practical fixes.
Lower cloud waste
Edge, queue, cache, and storage choices become intentional.
Stronger teams
Engineers inherit patterns they can defend and extend.
Sharper roadmap
Work is prioritised by risk, impact, and urgency.
Founder acceleration
Build the proof without making the future expensive.
For selected founders, we shape the MVP, build the critical product surface, and leave the architecture ready for real users.
Selective cash and equity work when the product deserves senior engineering from day one.
Proof sprintSelected projects
Idea to scoped MVP
Prototype design and build
AI and MCP feature path
Investor-ready roadmap
Have a system that needs senior hands?
Bring the constraint. We will identify the smallest move that changes the delivery curve.
Contact
Describe the constraint.
Share the product, platform, MCP, AI, or scaling pressure. We will reply with the next practical step.
prometh.work