​This guide is for analysts and investment teams who want to push Ko further. The prompts below mirror how Modo Energy's own analysts use Ko, and how they work alongside power users, to do high-impact work: building investment cases, decomposing revenue, benchmarking portfolios, and pressure-testing the numbers behind a decision.

Ko cites every answer back to Modo Energy's research, benchmarks, and forecast methodologies, so you can defend the output in any room.

Two habits separate the best results from the rest:

• Give Ko the full context and the constraints up front, and keep following up.
• The depth comes from the conversation, not a single question.

Build and defend the investment case

Turn a project or portfolio into an investment-ready case. Ko gives you the revenue stack, the risks, the comparable return ranges, and the citations to back each one, so you can move from idea to committee-ready in a fraction of the usual time.

Try asking Ko:

"I'm building the investment case for a 200 MW / 800 MWh standalone BESS in ERCOT. Walk me through the revenue stack, the key risks, and what return range comparable contracted projects are targeting."

"I'm preparing a sell-side info-memo for a Spanish BESS-dominant portfolio. Draft the content for a slide on the latest capacity-market and regulatory backdrop, and flag what a buyer will want to diligence."

"What is the revenue and IRR impact of a 2-cycle daily limit versus unconstrained cycling on a 4-hour NEM battery? Use a hypothetical project and show your assumptions."

Then go deeper, for example: "Now add a floor contract and show how it changes the downside case."

Decompose revenue down to the driver

See exactly where value is captured and where it leaks. Ko breaks revenue apart by stream, by stage, and by time, so you can pinpoint what is helping or hurting returns rather than reacting to a single headline number.

Try asking Ko:

"For my CAISO asset, break down last quarter's revenue by stream (real-time energy, day-ahead, regulation, reserves) and show which hours and days contributed most."

"Give me a daily breakdown of balancing mechanism offer revenue and imbalance costs for my GB asset last month, and flag days where accepting BM looks unprofitable versus holding the position."

"Show the potential-revenue waterfall for my NEM battery this quarter: actual revenue, then the value lost to duration limits, network constraints, MLF, and contracted obligations."

Then go deeper, for example: "Calculate the absolute revenue, not the annualised average, for that month, and show me how you got there."

Benchmark a portfolio like-for-like

Compare your fleet to the market on a fair basis. Ko normalises for the things that distort raw numbers, so you see genuine over- and under-performance and the reasons behind it, not noise.

Try asking Ko:

"Benchmark my ERCOT portfolio against the market over the last 12 months, and show which assets are genuinely outperforming once you adjust for location and node."

"Benchmark my optimiser's GB portfolio year to date, adjusting for location, availability, and degradation, and tell me where I'm beating the index and where I'm not."

"Compare my NEM assets against the relevant sub-regional benchmarks this month, and explain what separated the top performer from the rest."

Then go deeper: "For the underperformers, which revenue streams are they missing versus the benchmark?"

Pressure-test a forecast methodology

Understand exactly how a forecast is built and how sensitive it is. Ko reads the methodology behind every Modo Energy forecast, explains the logic in plain language, and links to the source, so you can trust the number and defend it under scrutiny.

Try asking Ko:

"How does Modo Energy's forecast handle nodal price formation and scarcity pricing in ERCOT, and what would move long-term revenue the most?"

"What assumptions does the Germany forecast use for cycling rates, and how sensitive is the revenue output to moving from 1.5 to 2 cycles a day?"

"How is FCAS forecast in the NEM revenue model, and which services carry the most uncertainty?"

Then go deeper: "Where does this methodology differ from how you would model an adjacent market, and why?"

Ready to go further? Open Ko and bring a real piece of work: a project you're underwriting, a portfolio you're reviewing, or a number you need to defend. Give Ko the full context, keep following up, and connect it to your own tools through MCP to keep the analysis where you already work.

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